{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initializations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import json\n",
    "from pprint import pprint\n",
    "\n",
    "import sys, os, time\n",
    "import glob\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "%matplotlib inline\n",
    "\n",
    "# these magics ensure that external modules that are modified are also automatically reloaded\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "# widgets and interaction\n",
    "from IPython.display import display, clear_output\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n",
    "\n",
    "from skimage.io import imread, imsave\n",
    "from skimage.transform import resize\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.autograd import Variable\n",
    "import torchvision.utils as vutils\n",
    "import torch.optim as optim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sys.path.append(\"/home/nbserver/BEGAN-pytorch/\")\n",
    "import models, utils, models_dcgan\n",
    "from datafolder import basic_preprocess, default_loader, flip_ndimage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dataroot = \"/home/data/world-cities/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load experiment information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home//workspace/citygan/dcgan-0-res64-ngf128-ndf32-nz100/netG_epoch_51.pth\n",
      "/home//workspace/citygan/dcgan-0-res64-ngf128-ndf32-nz100/netD_epoch_51.pth\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{u'batchSize': 64,\n",
       " u'beta1': 0.5,\n",
       " u'cuda': True,\n",
       " u'custom_loader': False,\n",
       " u'dataroot': u'/home/data/world-cities/spatial-maps/splits/0/',\n",
       " u'dataset': u'spatial-maps',\n",
       " u'fix_dynamic_range': False,\n",
       " u'flips': False,\n",
       " u'gpu_ids': [0, 1, 2, 3],\n",
       " u'imageSize': 64,\n",
       " u'lr': 0.0002,\n",
       " u'lr_halve': 100,\n",
       " u'manualSeed': 6736,\n",
       " u'nc': 1,\n",
       " u'ndf': 32,\n",
       " u'netD': u'/home/workspace/citygan/dcgan-0-res64-ngf128-ndf32-nz100/netD_epoch_51.pth',\n",
       " u'netG': u'/home/workspace/citygan/dcgan-0-res64-ngf128-ndf32-nz100/netG_epoch_51.pth',\n",
       " u'ngf': 128,\n",
       " u'niter': 100,\n",
       " u'normalize': False,\n",
       " u'nz': 100,\n",
       " u'outf': u'/home/workspace/citygan/dcgan-0-res64-ngf128-ndf32-nz100',\n",
       " u'rotate_angle': 0,\n",
       " u'take_log': False,\n",
       " u'use_channels': None,\n",
       " u'workers': 12}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiment_dir = \"/home//workspace/citygan/dcgan-0-res64-ngf128-ndf32-nz100/\"\n",
    "# experiment_dir = \"/home//workspace/citygan/dcgan-012-datafolder-niter100/\"\n",
    "# experiment_dir = \"/home//workspace/citygan/dcgan-012-res256-ngf128-ndf32-dropoutGD-afterBN/\"\n",
    "\n",
    "with open(experiment_dir + \"/params.json\") as f:    \n",
    "    config = json.load(f)\n",
    "    \n",
    "# Load last checkpointed generator model\n",
    "\n",
    "# files_cptG = glob.glob(experiment_dir + \"G*.pth\")\n",
    "files_cptG = glob.glob(experiment_dir + \"*G*.pth\")\n",
    "files_cptG = {int(os.path.basename(f).split(\".\")[0].split(\"_\")[-1]):f \\\n",
    "              for f in files_cptG}\n",
    "netG_ckpt = files_cptG[np.max(files_cptG.keys())]\n",
    "netD_ckpt = netG_ckpt.replace(\"netG\", \"netD\")\n",
    "print netG_ckpt\n",
    "print netD_ckpt\n",
    "\n",
    "config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GeneratorCNN (\n",
       "  (main): Sequential (\n",
       "    (0): ConvTranspose2d(100, 1024, kernel_size=(4, 4), stride=(1, 1), bias=False)\n",
       "    (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)\n",
       "    (2): ReLU (inplace)\n",
       "    (3): ConvTranspose2d(1024, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n",
       "    (5): ReLU (inplace)\n",
       "    (6): ConvTranspose2d(512, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (7): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n",
       "    (8): ReLU (inplace)\n",
       "    (9): ConvTranspose2d(256, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (10): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n",
       "    (11): ReLU (inplace)\n",
       "    (12): ConvTranspose2d(128, 1, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (13): Tanh ()\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load DCGAN model\n",
    "\n",
    "z_num = config['nz']\n",
    "width = config['imageSize']\n",
    "channel_names = ['bldg', 'pop', 'lum']\n",
    "nc = config['nc']\n",
    "gpu_ids = [0]# ,1,2,3]\n",
    "repeat_num = int(np.log2(width)) - 3\n",
    "\n",
    "netG = models_dcgan.GeneratorCNN(z_num, config['ngf'], config['nc'], \n",
    "                                 repeat_num, gpu_ids, dropout=0)\n",
    "netG.load_state_dict(torch.load(netG_ckpt))\n",
    "\n",
    "if torch.cuda.is_available() and len(gpu_ids)>0:\n",
    "    netG = netG.cuda()\n",
    "    \n",
    "netG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DiscriminatorCNN (\n",
       "  (main): Sequential (\n",
       "    (0): Conv2d(1, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (1): LeakyReLU (0.2, inplace)\n",
       "    (2): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (3): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n",
       "    (4): LeakyReLU (0.2, inplace)\n",
       "    (5): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (6): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n",
       "    (7): LeakyReLU (0.2, inplace)\n",
       "    (8): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "    (9): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n",
       "    (10): LeakyReLU (0.2, inplace)\n",
       "    (11): Conv2d(256, 1, kernel_size=(4, 4), stride=(1, 1), bias=False)\n",
       "    (12): Sigmoid ()\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "netD = models_dcgan.DiscriminatorCNN(config['ndf'], config['nc'], \n",
    "                                     repeat_num, gpu_ids, dropout=0)\n",
    "netD.load_state_dict(torch.load(netD_ckpt))\n",
    "netD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generate synthetic samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def generate_samples(netG, Z, cuda=False):\n",
    "    N, nz = Z.shape[:2]\n",
    "    Zv = torch.FloatTensor(Z.reshape(N, nz,1,1))\n",
    "    if cuda:\n",
    "        Zv = Zv.cuda()\n",
    "    Zv = Variable(Zv)\n",
    "    fake = netG(Zv)\n",
    "    return fake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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SP70HWvCzN6kcw8+qaoD4AIBzl121M0dywiE65sTYMJPxZY2lMnf5MN1vtvWLlavL8Pqr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L2pEcBl0dFNc/W9W4awLbIeTw0/DwC4LLZlWrGnWlh19GfzZyFyAtrNrPNszq2maxgwmV63b83D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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f59cf278710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "N = 10\n",
    "\n",
    "Z = np.random.randn(N, z_num)\n",
    "\n",
    "x_fake = generate_samples(netG, Z.reshape((N,z_num,1,1)), cuda=True)\n",
    "\n",
    "utils.save_image_channels(x_fake.data, \n",
    "                          ncol=x_fake.size()[0], \n",
    "                          sample_names=[\"S%d\"%i for i in range(N)],\n",
    "                          channel_names=[\"bldg\", \"pop\", \"lum\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Compare synthetic samples to real samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def frame_image(img, frame_width):\n",
    "    b = frame_width # border size in pixel\n",
    "    ny, nx = img.shape[0], img.shape[1] # resolution / number of pixels in x and y\n",
    "    if img.ndim == 3: # rgb or rgba array\n",
    "        framed_img = np.ones((b+ny+b, b+nx+b, img.shape[2]))\n",
    "    elif img.ndim == 2: # grayscale image\n",
    "        framed_img = np.ones((b+ny+b, b+nx+b))\n",
    "    framed_img[b:-b, b:-b] = img\n",
    "    return framed_img\n",
    "\n",
    "def format_pop(pop):\n",
    "    if pop > 1e6:\n",
    "        div = 1e6\n",
    "        s = 'M'\n",
    "    else:\n",
    "        div = 1e3\n",
    "        s = 'k'\n",
    "    return \"%2.1f%s\"%(float(pop)/div, s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dmTBmCh3ebk8tl1o8UD8kPi2BJm72DPcuhzpRTSmXUqSlaTItxbWytsLHtwbf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\nqmwseIPeG8yTKVdFy/o5+4jb8XNubfDatHFpU2lJXmOMTKtKaWkp5r6zQOu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BxEIFclXW\nyFVZ4+LZeFw8G4+e0/qi51Nj8O/RLOS2fwg2tiVwauoJ2/SbCM0Mxa8Hdorb69q9C/YfPIjM4myE\nXghDntbEeTkKSgoR4hOM8uIytHJqCQ+7JujRs7t4/S5GXEFCYiLatglEeloGXnr2dTw3zQ3PTZPv\nCGQo05GhTMeEPiWY0KcEa+YfxZr5R3H9ShKuX0nC6R8O4aMh+fhoSD6WPeCGZQ+4Yd0wT6wb5gkn\n61I4WZeKlbsuxzjA16EIvg5F8Lb3gre9F6YH9MP0gH7ILs5BdnEOovOiMM3fEtP8LcVKX5eibHEp\nyhYZyixkKLPQylHXe0daIU9dpobCQiGquPThauMCVxsXHI47g8NxZzB8400M33gTiQXxSCyIN+FK\nm47ce1OOPn174eiff4sR6pzsHCQmJBncdr8H+mDb5h3i3zcjbgMwvp02Flbh0BTcbFzgZuOClzr4\n4KUOPnCzqWUTtPuAofZXk+a+PogIo/7Msb8q2vnmzZsjIvwWACAi/CYSmKQOwPNPv4KUlFQzHj2n\nqlhbW+Orr5fiwG+HcOjgH+jeo6vYFsfExCI5KQV+/rrt2ZSHJ+KD9z7CCA3lbNy9eHTuEoJXX38R\n7h5uSE5KhZO1E+ysDCszDLUfnbuEIDk5BYd/P4LRY0YC0N+/BmgywsXFGZ99slR2XxMnjcOWjdtR\nUlYCx+akMvrksw+xY+8WcZKnpEyNXI2qWfr6lPrOQ5dunfHH4T/R0qkFrv8Tim5GpDxOHDtN57PM\n4nRkFqdXuq6pGNuuA9AZj/Uf0Bf79hxAYQEpZ1NSUrWUSQDw+uxXxHUA6hP8cegvADC6n6ZJSkoq\nnn/6FZPX48i360VFSly6cAW5OblQq9Xa7bivD8KF5+n43/9Craa0SX1jXX3jO0B//1yuneDXuHLq\nlKLHz781tm/dhY/mL0ZAG3+8N+9xdO4SgrffnCuaLk97ZApsbGyw6NMFOp9LGTZ8CM6fu4jJ4x+B\nj483unTpBACwtrHGlys/xxeffYn8/Hyo1aV4YsZjCGyrW6pbekzTH51qcP1Fny7AR/M/gQUs0O+B\nPnp/65hxD+GNV+Zg6sTH0DG4A/wD/AAAd27fxVdffgNLCwtYWVvhgw/fo8/v3MWQobrpB/WZBwb2\nw85f92DcmCkIDAhA5y4h+D975x1fQ9bG8e9N7xWJRIkQLYjOWr1bbFidxeq9s1avi9Xbviy72uq9\n985irS7RQ5AeKdLLvbnvH+fem95IIpjv57OLO2dmzsyZc+bMc37P81gZWKIt00Ymg3Lly9KiZVM6\nte+BlbUVzhUTU1rOmTeTubMWiGDMReyY/et03kR4UcykCC1aNmPp4pUcP3MwW/UZMmwA48dMwszM\njJq1quOjmnD6+fqhr58/paBWKVw3kgYBveUtPjL+PiOMKLdGC4ns3lfX6FiiTrL91AFjL/uJtMzO\nufB9UqFieRo2qkfHdt2xtrbCqXQpTExN6N3nRyaMncze3Qep3yBRhty5a0fGjf6Fo4ePUafuN+mu\n1Kifo3ZtOuPgUIxKLon3wNDQELeH7qxfuwEra0sWLpkHwLCRg/ixax8srSypWNGZqKioTOvv9cYb\nE5PULkcfQ0q3moxwbSBW9G4WEZOrs2+E4WvIER/O/CLar5R56jEstzj7+3EAzpV0Qvn4FgDf9Bcu\nW3K5WNlx+3s/FmF3qedgSkyUjKa/dGHHRQX//bmVTut1ibV0pEGhBGIVccga1+ba2g2cOHKSGtWq\nU6CANcYadxwZxrpGOJV2Qktbi07tu1P/u/q07tCSMZNXUK9FeywNtOk/+ScGnYmgk/U9whSR9C9t\nk6reakqaiVXoHiVFIOQ5qtUouZtIu71lQw3M9UR7WxuIDqF2mSppKoyMlfpfEgcLekfV34RkXR3k\nOTBaTLQLGgp3Lwt9c6otE4sNa3qIxYCNbYokO36cIo5IuXgW1QHXbwaKDwctmZhElbUoqynz7L1I\na2ug+lBwMBUG5mVur7DSF6tmt31txZ+XxHXZdM7990ha783LF6+kKleylCPDRg1mSP8RJCiV6Ojo\nMHnaBOzsC6d77ImTxzNvzkI6tuuOQq6gavXKDJzYnzsv7hIjy/00w1khIFq4TmTktqU23pW3TDvW\nR3qo3cJO3BDP6+E+4hkqYGCV7XrmBBmNv0kZPLQ/M6bN5fdVa6leo5rm96bNG3Hk8HHat+1CxUoV\nNCrchIQE3r7xwtw891wMJT4OIyNDVv1vKYP7D2fg4H48f+ZBB9duaGtrM3ve9FQJUgAaNKrP9Clz\naKdS2QAsXbySN6/folQqqVW7BmXKOvH0ybNMz5/Z+NG8ZVOePnmGmeoZSm9+rWbi5HFMnzKHZYtX\nMmb8SJQkKmcMLAwpVqIoTZs21syXUqKrpYOZXqJLedI5ZZkqTsQoYngb4Z3ufRg0bgALZy5h84at\nWFpaMPvX6Rlef0hIaJrqnsR54LkM988uWR3X06LOt7V59dKTnqqU9UZGhsz7bTbW1umPWz9PGsuk\nCdPY+NeWZMGYIf0kA0l5F/gObR0p29+HkNa4XsimIP0G/kSPLn0wMzejhGNxTFVz4g4d2zFq+AQ6\nte+ebL6e3rduRt936c3P0xonHrk/lto4E2TKXNQAGjYScsSQs6MyLZs0inp+IT/VafCAEaxdv+pT\nVwPLpisAiL6Q9gsoO22uxjfKn8JG4oNMoVDQqG4Lzl0+ia5u9uyQakNPTrN00UrafN+K0mVyP6tB\nTtLztCcAjx+JVZOMDD1qdr+8DkDnJJkkcrLN1bE0oqNj6NtrINNnTaZc+dzL/qOO/J8TTPp5OhN+\nGaOJIZLXzL0nPtRveggDQAkbYejZd8RXY+hRZ2H7WDJqc3V7o5rEy0o6oXwsVGBqQ8+/14TfdsIj\n8VF6dU9Tbr8TBovlR0S/fu0pjCY+y4ThYfWD+7Qqaoy2jjYxnrH8Ous3zcpeWnipYqhsei5iUbkW\nExO/KRcMqRFwAMtCVnRsJWIfpDcxB/CPFoaesm2TB9DfsqEGZczFaqw6o4na0OOtUsTUGypWNwl6\nx2iVoWdgWbGPjkpxozb0AEkMPWJbCdMiycrEKeKIV4qVMLWhZ9OzmwDULiQ+VspalMU3yl9VD2FQ\nyNjQI57XA9vF8/Pid3G/1cYlyJ1xPS/xjw5k1ZLfqd+yLs2rpw7An9eoVZH52dCT39v8+XMPDu4/\nLAXFz0GyMq7ndnu7uz1i0YJlbNqa+67xw4eMoWevbtT6puYH7R8UE6IZJ4PCg/mxQ19279uqiRuU\nHTzDXwOgLRPvvzDP96nuQ1BMCJB8bM6ISxev4PXWhx49u6S5Pb/38Q9FnfV4w5Y/Miy3Y9tuChe2\npWHj7Kn7P2dyu83Vc3i5XM6YkT/T7oe2NGna6MMqmwN8jW2ckszaPM8VPa/DxQdAcdPUsVNS4h0p\nJF72xumv7uUWAdHvNINufiA/GHlyC7WRB0Rq1fYdXbNt5IHUQYdzirETUqf0zM+oPwJfvxYf1u0a\n6ibbntTIkzIFs6V+7rr7zJ45j5cvXhEbF8f3rq1z1ciT02TFjz4j1j4WH/l1bURskYKGNpz1Fgqq\nHqVqp7vf6kciM8VkF6Hk6R0gxtChFYRB4NptUzwjhAGiXB7aoMq0FsbAp2fvQhEh0X8fKgIQJwSI\nZ9BIJe3WkmnTy0koHKv1ER/BC/4T6iPbQacBaNSgIP/OmYdSmYCuri7TZ0/RfAwvuCWMHluaOWjO\nX0TlVnP+nrj2JX8Kw4+WlozJU0WKT7WB58+nIoB1/zI1Ul3HvSDRBo6tRXDN5t+Kc+14ZMS0WsmV\nXmpXOm2VakdfFbA91qoAJ66L9vjBQRiOKqpWVRc+uA/Az5Vc2NxbtL26v6kNPOp33dtIPwobWgMQ\nqiX67atwsWK26lgkAMUcX1GpiKhXz1LigyOlkqu3kwW6qv2HlRfjq4utuE8Pg18A0NCuBk9DM181\n/xywMSzI3KkzP/o4bsFuPA8TcQHbO6QOcpoU9xD3dA05WQnArDbw+EUFZGiITElpc+HSuPS0UHg5\n3RfP/aOlVZK9S9PCLdjts0n97uRUUjLyfGH8tX4ze3buY95HvkszIywsnB5dfqJMGacPMvKkNNTe\nuHaTmdPm8mPvblky8rxTucUnNb6qDTxFTezTvA9R8ugsG3jUNGj4Zan8s4K72yN+mTCNUWOHZ1pW\nHRxcIudY8/t6/r1+k9i4OL6pU4vGTRp+0vpIbZw5+cZ1y97eLl8oZ5Jia2eT7+r0pXPo2J7MC0l8\ntixYlLcpL3NKzSOR++gVLMzO/VuT/ZY0No2EhISExOdLvwG96Tegd66fx8zMlCMn9uXY8WrXqcnJ\nc4dz7Hh5dR++RJwrlM/RtpXIHuN+/rzUXxKfwNCjVvKo0//ZGYv4AWm5SX2skufi+ct4eLyi34De\nrFm9DiMjI3r3/TFL+xZKIreXyBv69R7M2Akjca6QPSl7RqhTnqdcxdy9cx+Ghga0dW2dY+fKKSLj\nVTE6dFOnC1an4c4oSGFgjAheeXmAiEmldnE5/la4ZX1X9Jt070sz+8S4Uup65BS54Qr5MX08r1Ab\nK6oXEMOttYFw7Vn2IIhRFR3S3EfdPm8iw9l2UTwHdW3Eb383rwQkunD0a66kVdFv0jhK7uLkJOJD\neb1xxMZWrHIWKKRa7TQWf0bduYdN4ClWtl7JQGfh5lTBSvTv1iVFXJ9GE4QKYdIfHjT2Eyq0XV3F\nb/s8hXvK+bNC9v6yllIT6DwwRrhsLfhOuCgdqyjeF5v3B1OjQKVkdf3BIbXbpdply95I1FVHRyhy\nJroIlc6/gY+5HiBcovS1RaYJawOhttn7SpTt2l6UrW0bTAlToY7b8ULsU7iSWNX9yckegFuB9yl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0dFRjFh7OTPro+ndKeoYyNegjXKP8E3TLhzvA4XHzsH2wtp+lOVu86S8ecp017I1mMU4sPU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\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ctVdvGe2Llv66dnZ2eBQvJkpBNRoNt27e1jm2SFF3UWaYPlhYTExMyoqHOefOnic0VJhN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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f58e0214110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot real samples\n",
    "N = 36\n",
    "files = np.array(glob.glob(config['dataroot'] + \"/*/*.png\"))\n",
    "files = files[np.random.randint(0, len(files), N)]\n",
    "img_list = [resize(imread(f), (width,width)) for f in files]\n",
    "img_arr = np.expand_dims(np.dstack(img_list).transpose((2,0,1)), 1)\n",
    "img_arr = img_arr.reshape((N*nc,1,width,width), order='C')\n",
    "img_arr.shape\n",
    "\n",
    "# # generate grid of images using the make_grid utility in torchvision\n",
    "# grid = vutils.make_grid(torch.from_numpy(img_arr), nrow=9, padding=1,\n",
    "#                         normalize=True, scale_each=True).numpy()\n",
    "\n",
    "fig, ax = plt.subplots(nrows=4, ncols=N/4, figsize=(20,9), \n",
    "                       gridspec_kw={\"wspace\":0.05, \"hspace\":0.0})\n",
    "for img, f, a in zip(img_list, files, ax.flatten()):\n",
    "    country, province, city, cityclass, pop = os.path.basename(f).split(\"_\")[:-2]\n",
    "    a.imshow(frame_image(img,1), cmap=cm.GnBu)\n",
    "    title = \"%s,\\n%s\\npop:%s\" % (city, country,format_pop(int(pop)))\n",
    "    a.annotate(title, xy=(5,20))\n",
    "    _ = a.axis(\"off\")\n",
    "    \n",
    "fig.savefig('../figures/example_real_cities.svg', \n",
    "            format='svg', dpi=1200, bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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L+8PbOozH93de4HU+sptsG41aN/ma0CYaNsr2UbFMj4uMr7CTc/AP76/BQopzZVKizlr2\nNinfaS+K3M4kmc+vOjfqPYbDgYkEI76DQxRwfEv3Nj57mXxxvbauo+K5ZMoXyljc3cp+mhb23GYX\nS7e49TCemDSMC69zeeH2cmK9FhuDcB2ZErE0EHIrw4SYT9EOq0iiw+GAX1gZClNuPUGWyHNTF3Bp\ngXvF23pUNJeshxq3sEVCPnia+X/JMdrPz32V3xmZY3veu/MydtSRUVHn5feuishtf4hCtsU27eK8\niiHShivDqLOmE0Oip6ZR5qToyVyZpi7QQpr2+N1bWpHK8f+md/F53M4a+S6vtyXUazQDlLlRuv/F\nMwlcmOfepnvSwcZti9qVyqVMR8ckOtkoef7lsLNuJ4BCdFMFpItL3leKuzvJQt1Tf7jQZukTFQUO\nujjOmXx2iYaQfiaS5n70N+eBD+9k2//slGjiHGLfhtzc84Zig9hVt+uabdM9bkTOGKX6dqYseRGU\naaTl6gciV3F2nvbmxTEyZx7cxfNCTZDXu3KZv7//8AQON3IvH4uTveVz8lyjOnwt/laz104kyNqZ\nTlJvaoewhj0uD6aTXC+PsunYEuK839dQKDmtpdMviGj1Rz7P+fDW45xDrYFWvKGL/z4/x3PDX3+Z\nc3Hrdq6ZuZk4OrrrlvSDxepwuzF51JaZn/ms0S2pRJ9mOaSLhIg7hfWowrrlxGmrgRH8xWI2xPWA\n0Ya5Sd/VNiO0T/VsVzp+xWc+h2HIEh75PZFJGFaovs+VsobLQfcUPS+sNHfULm8JcZ+oVjx8pbOr\nsn7e2HX8mp+9Fm4vi2VhYWFhYWFhYWFhYWFhYWFxC2NTh+3VG/vKDEt3asWOzVJyb04imHkA4XW+\n9o30Dmueu3oyV6OA/x+Ocmp11uwzWgSmPGzJ9eKZhIkQlOb3a1WTn/+CA3fso1c24KFX9ivfYORq\n/NWrvFA+D6RFa2GKzJRHPy+56TUcoYv3t+NtPawQArmXVhUZjJK9U+vtw1CMEdYHOxhROz/PaF27\nVNryuwImUqsl8pTJkxNvNCRa8dT4y7ijidHJbmE1jcUYYVWNnovzFzAUI8vHJ2N/uGlxVNbn8uEd\nvXewD6QPI2lGFf/p6uMAgGPN20zJYo0Gank+Hc8Wf5OZX5oPqz9bRCfI4vZDIpOA5wbYVmVEPjZ8\nAfe1MzJSroqBoprIxko5/2dmua/015LxUY5FpFFMXTt6Pf3dRCBvkyjvji20V6/vnMaEEFmfnz4N\nADjaRBs7nZyWnws43nJ40fcfGXwSAPD1K7Qz//hIBj/wEP/dG6KN/dPHyapoa6Yd+5H7pvBYDxku\nj3yGdn3sJZZbfybE+fpAbw6v7eiQ61AzRatuql32Oj34p6tPAABapMz7cIxtbfTx93QuC698/mqE\nDIm7Wqm3oxUT2wLcb3L5LLxS6vw9/X0AYCp/fVM0X3wuF/7yFPeH/3JCdGNA1lokQ9udyaVxUGy9\nsoRVB+R/nKR22tt7Ajg9y+c53MTna3EsX0nJ2Hcn7Xq/m+0bi0+gNVBdBaYPbT8CYHH0fkT2L42Y\njiT5e603bKo9KXTtLQij58GuFHpDnBezCVa3+uoA2bhv6SbjpcnfYr6na24gys96pKR7R7DN7H81\nnvIMbofDsSS6ryXdjX5RNoV72/hs8QyZNy+OcowmpWTaQ3ezLVvDPlMlqz9MfYZpYeAqcvkcTs2c\nMs8BAPXeRukDnkcccKA3xGf9pf283svTp+R61BzM5NJ4cZr9+tQYv/+6I1J5LMB2PTH2InpDHM93\n9fPsk32Y6+npV/nZgwca8It3cF4+8L/KdtN1RSaXWRPz41aHshfyyG+qfhqKkmqWyokOpLAW/OvE\noHXCsWTfnIqTPVjv4zl7JWbvSlDbUU0J6pWgZxRleeQBjMfJLh2QapO9cmbR87fF6pDL5zAcY582\n+snIVMZouXOc6pRqBWGdM8VaPzoPvHpuk/11XvZr5POGcatMT12LxTp5Cn0/XZB35fPz5wAAO2p3\nLKtFmyvS1NPzY2nV5HJYD8b67XE6tbCwsLCwsLCwsLCwsLCwsLgNsHncx2WgXrgWPyMempu+WRg9\nml+q+eobiesRJdHIl3pC1QOZy+eqznH98S8y0va2o6+gL8RxO9zULtdbnCfZH+5fwuQ5Of0KAKDB\nx0jd5380YDyrf3GW0dLxUUbf2vZQz6h/exOef5ZMnOQgfyJONgvmGUmbjPfiWyP8/mvaDwEAYhJZ\n/cE+Rhn9bj+iEim8r/0oAGA2RdbPmTlqOxxo6DT9pIyZs3P06oakwoZ6dqOZtNGLeHKCn91bz2ji\n7npGBXtC3eisYWQwLvO80CfsL6/TY6KSCh0zv4tzodiLrVER/c75+cvSp/Wm+o2FhcLn8m2o3o1G\nYL42yPX4xVe7caCRDIuVGD3VQHOy50Ujw+8mAyOeSeB/n+K6qPOTyffz+8iUqC2q0qN7kLI3tQKk\nam5MJWn772rZjSb/Uj2QWw3v2EaGgcPhxWiMbKcWdimSUrHo/5ymbdnRkENnkCwdn4tslpMzUpkr\nzH77wA804yN7hNW4QBt2aCuv84P9Mfl7Gr9whPPi0kUyI189xWhqNssxPNrUaKocBp2M/k2KPspn\nzpMJ8vF9+3CggTo+W0TLJSGR2plUgZUxEGE0MSXVop4cI9OiP0xWRdjD+fHs1EVsCZHFVC82Nptn\n27uFQbq3fg+uRji/Z5KhRX2RkkhkHsCI6LvUiR6h7r0769gHC2kH3tLNvaiUEVtJpRr9v/Zga9Ua\nPeXOGcrA9Qm7JisVqIrZPHofZb3pfutxuA3j6EO7Oa77GsjYUi2FYkaztr0QES20v1E0va5EyLK6\nvEBm0KFGsrBcDpe5lq5lZdlob22r3WrYxj6pavU9Fq5CZxuf8/397IPZVAQtfjJo9ByqUf5m0UxK\nZJNo8u1a9BzKks4L93shHaHuEoBTs6flem75bMS0/UQbzwcn2tharXb2xcsvAADm01lT9asuxe99\nbB/PGL82z+v/+nHA72rFjcJmYqkAnJebSddts2u79If71vT9YWG8qN1Sm+t3+836VegaHxVGh+p6\n3mjoGA1F+V7RE+o2WnRNogOm7JByepm3A7L5HLLCgF5LheVMPoseYTvqfCjXj9rP+h6uvwdLdAHL\nYVDGUfeERn9D4X2pgv1UGTgdotOayQubaIXnVuZnwOU3bbw4z41GKzZWUw2sGmwuC1wC7eitQq3P\nrVBO9EZAS70FcwFzULjWBE9lU2suMw7wRaXUIbPWDbV0YhfTy6oVnD57ekL+1YL/9jZed1vtYqpz\nSCa12+k2KRK/+zIP1e/o5bN019DQj8ZG8W1x0PzVd0UQuZWLq66ei2ZrlxN+EU/81j/R6N71ICnx\nT/3DUwCAP/7Tcxj8IA+co/HnAQANPi7sBzp4UMvlc6gvLR8rB9g6j19+LyxIdaT01PDApSLKOs7t\nwXYspPhi2OLnoa7Zz00iKIf+eCaBUUkX+8oAn+tEK6mznUG2q9YTNsLWKt6sTqDXdgq9vkzpPe3b\nbqGUbhZHqcXmwkYfSpT6/BfPcF5+9+sn8fTjfIl+4T/SsXKt0siV4sVpOmGTWa6XJ8dr8dVv8B4z\nM3wx+v+8pI1390p6pt+DkSF+ZvyMCL37xKsh16lpZ5rEw2+dwm8e5zrTss/6EnwrHfa+col262j7\nDN7YycOJvmjG5GX2v9zF53Y53aaE9O+/RAfZ27ewj+q97MeTM3N4ZJDfi2X4veYAHSBHm2mnv3jp\nVdzXThv47x/iizgeov39tc/QVv7dpRR+dDvnU4McvAOyv/zcHu47+XzepCG4Skq55iAHSjgw5uJ1\nHh/ldX75IOenvpToeAbcfvzdJaaQfWgb50FGHD36Yg+HA0ebeY//+SKf+UArD3f9YbblRNs+zJh0\nN6bt6Bx6a/ddAICXpl/Bl69yv3pL934ABcq6vkCFl0lfKsVq52M2lzUvPKX7Y7HzSQ/K3x17DgCw\np57nN3VSjCcmjHD36VltC/vkRBuDLaUBDaCQOldMcy+IdS525mg53dnUrDmbqXNP26GfAYBRmadz\naZ5zfuoIx+EtPXezzWKrYtkYBiWFTF+A9WwUlLnkgAMjIn6tNkCd2hckBbwtEMbXhnj/GjfnzIlW\nnjF21rE0ezqXLpx5tZ/FwdYf5nV31xecVIpnJhmM6m/kc+byAQQqePm5XXAr2eP1wk8+yvX35w8W\nykWvNdiiorYJEdd/ZZbBzh21tKd/+eo4PnGw9JzNNZRI8DubxSmn6UBbwr2FP0qz1CaqDIMimUuZ\n9Xq7YEzsZLc4LlYzdsXpeisRDPTaHgffFVcqIGMcRjJoun9pYMJZZk9ZCVokoUmc+5cXLgPgfNX3\n29LzQnNR8QRN11TSg0p56B613lIANnXLwsLCwsLCwsLCwsLCwsLC4hbBpmb0lGKzljWshknjcror\nooZdCyFPjaGqTyYkEi1e1PVGNB01ApuVoreP0dDe7iAONi5u18vTjIIGhKp8oHE3HhthtHJPPT2v\n2+tYUk69u4lsAne3HQQA/NQD/Oz+BjKqohlGy16cnsOTz8pN5plq9dRnvsHfM/TAoqkFo+Pst+eC\nbOO7tpL943cWvO+lrCv1BLdLGchsLmuijufmzkvbdwMA0hLV9YLXcMKBkERb720jpfxfh5gu0uBt\nMPfTkrh3J0jLPt56aNG9J5PT6K5ZTGnUKG5WItJD0eElImIaTWwNtMDCohSaLpnMJjeUZt/kY4Sj\nuV7qC+eyaGxiRE8pwIoFSUvwuX1VCTRqlOfBTtqTgjD5i3isg/ZjampxquSZlyTtM5kCIvOLLxgV\n8T75bFQiM//6mAcnz/DabR283t++jUwXVxmW3WZBtWk8B1tpV32uHMLCOlFmyTeHXwQAHG3uA0B7\no6ya92xlxKpXBD01urWjLmOiYfPCgplP0T7//kleL5UJYDpJRtCJVkacf+9FtuNvP8p7e5wOw24c\nEsaF2lONuObzeZN2pdC5PyNRuOHYhLn/R/YwIqdRP7Xr6ayWXU+hP8R7fmuENvu/fp3X/523J6QP\nmrG3fg8AoLuebNX727kv9IeZ3pPJZdAtbNBSpoyizhtGk4/X1P1AKeuaKlwJ8vm86adKoXtNIpc0\n4s7aPo1suotKyL88Q9bqltDi1Ab9TjQdxXCM43dfO683l+I4KtOn3ldvhJYDwnqdlf8rlyLpFebM\n3gaOuRYi6AttKdqnyepTNq2Kb7ocLrNGOwJkZh1p1n2ez/epc5y/YU8Gr2mlDTg584r0D69/sJFM\nK5/La9oME0Hmc97dyut7nB701/LagxHO186S89tofAw1Um5ez0zPTXukD/m897QWyqY/N8l+f20H\ni020+vmd9sDWdWGRW1QP3W/cTveqhYU3Av/xOM++C+lIxczAa0GZ421BprcoW+HsrJx9fSnDAGmX\ngiZ6b19JcZabAaVtvd3YPC6H09iZcUlxb9sk7xy6Z+peoO/O/hzHqFL7qOcFTT/Us8H2WqYeD0aH\nTEpuXJhsmt6l/ouJxJT53q76Xat9pKqwOT0nFhYWFhYWFhYWFhYWFhYWFhZVY0PCt8XiW7c7Ks29\n0yjaciXJHQ6Hyf9u9jXieqBY+0ejtpXiaz/BvPx3f24IT02wRPrxFkaavj6geZH0rvbXRrGrjl5P\njTa6SnyQHqcHlxaYez6RYF9ckWj7pQijZamsCxefOSONl6ilT/pNSrJjdBiT44webJXKv/sbmRP/\n7VFqCuyu7zViWRphGJMc/k5hyTgdThMNN5oc4hX2CZOnuISfao2EvYujJZcWGM27uJDAAx19AIC+\nMPtCI0CqsVPnrTVRA41Aahs0ygxgyVitl7DtjUQlZQhvN2ifZPPZNUULdZ5GMzGEq2AHrBUBsWn/\n/V5GpSdm9mJkkJH+EdGr0jx/wwbIxEyUaDXRPl3Xhxq34gfu5j1iUTIELjxF2xHsYWS9uaUFVy+J\nFtcEI/qoWyweedebGcV/6ktPY2qQzzHUyetl3sp1t1mFz/P5fFktlJXwkd13AACen3rZ2DTdo+q9\ntHvPTl4GANzV6jIFFPY1MHKl+ia1Ylcz+axhkWn57fYg5+D+PHXNHu6twQtTtPVhD3+eH6WN/PMs\n7cG/P+ymwXtnAAAgAElEQVSB28E10CxiuUYIV9owEh1BWqJtyrCcTDCirCW799XvwFCMbZxIUKdl\nS6hIlwEAZN+aS80osQshD7//X9/B68+kaI9fnj6FZ6doj+9o5N921x+X7/NZppNT2BYuaGOUQ1dN\nl2F8rBQp1rVcyrTRhmZzmSpHvBCJLBaK1HX58jRZJEG3R37WYH8DGUy6H5ayxrpD3QiKnRkXwewd\ntezjpiIdg4TsYxrdVyF1HU+v02sYe8oIULw4xXbtb/CaPbdZRJh1f+wQpoHD4UCXm2tV91rdX69E\nr8rf2QfNvhR6QzzbqHinU6LF5+bJoOkP95s2z0kRB9VuKo5we2W+av8q+yOSJ5NpOjlj+u5gE88o\nXTUT5h4Abf+ERM/Pz/OzC+mTck/+PhIbQTK38QVDNjPWg1W/ElS3SefRZmbzADDit9nroINaKjC7\nx9iHS0YzrRSbvb8syqNWiglo0Qq1p9eTKa5sb2XSFO8hCj3nqK1t8Tet6l4DEWo1atEFv5ssNd1n\nWwItZn9We74gxX5mRX8PINP3WlhPG2XfmiwsLCwsLCwsLCwsLCwsLCxuEWwIo8cl3rxsPrfpIvIj\nonat0Z3NAvU8rsSC0rKlnuvk/dY2BN0B7KjbXtV3NXL+jqNxfPGClhSlgM5hcWYeb2GEssnXYCph\naC7ljETCnptkXv25eQ9+qJ9Rv4/vZcRctWe+Jfo+X7/aBHcLL/7A65kzeek8Pcs1IXpZO3tq8fQT\n9Mqmc4wqasWTeYkoX4kMo9mnLJ3FZWQ1NllcDaBXKoNpNFU9sRp5DLj8ppzf77/Iv33xn3ivPQdE\nJ+hIFvPyzB3Bxbn66g13l1muU+IlviKe5pDbb7QpbiXcPJna1x95E6llCdKQJwSvd/U2QKPiq41y\nrBWq1/Ll99Tj1Ax1TJ4YZ0T0tR2M1vQKq2KlygrVoNHfgI/vJTvn/VtpIz7cyMjjxx+g5tm9bdvw\na09yff3z12mHt++iffnUe2jT/t+XuJ7DH74Xk2OM3OzbwbFQnZDNWuXO4XAYe1spdE+YSyWN7XFK\nvKi7huN4pJnsCr/Lh8fHWM3lSoR9fFUkjvrD1MS5tJDDG7toP++Vikt/doaMhIU0x+NQYx3e1MVr\nai597A6tmMj5UO/diW8Oc+6MxjlWb+the8bibGdvTQeuRGhjs3kyNbQakbKB5tMLpvx2yMNo80Vh\nkrbI3zVKP5eK4xN/y/v/2JvZBw91c16cX+Ac2lUXwgvjvMeuHWTw6BxWtqjb6TZ6Mcvt9z6Xt8Dg\nE7bqqFR2ckj/1/lqzViMxmkbRmPc2w427jbXClTJrNao7FxqYUk55L4wx073b6fDiQEpFR9J83nb\nAmTLqC6B3+VDp1SA1L8p+0r3UKfDaeyC2juX6N4om8i5wtzVc2YkEzGMnnppe7kzqN53MrFYi3Am\nyfnySwd4/vE6vSZ6e3GBc3uhREtoKjFtbPPW2j4ABXbSvFTfTOZSRhNwMsG10OSj/R2IcW7urt9l\nosM65mNSdVPn5JXINHzSd6enRXOshvf66d398gwzODkzu2xf3Y6ISJR9vfRoSuEv0ZjZLNWjroWV\n1tR6oyfUs+neBy3WBt1blH16PcdX90OjibrCOWs99H0T2STG5SzRE+Kepnu57lHZXBYLOR5yVDtP\nGc96fiiu2LwS9P3eVbImi/fISmFXmYWFhYWFhYWFhYWFhYWFhcUtgg1h9KxXFHYlaMREPWuVRq1U\nE0YrPGiE6WaAet9zVWfdr+JeVXpEHfL5D2zrxbMTZOV87SojVmcH2O7xg4x6vr2H3n2g4AFWRtDr\nO48BAF7bmVsSbdDfHuw8CgD4xsAlNDXxe7VB8fam+fMP380+avZ78NI+jUqTNdAlDBqt3FHjCRn9\nCcX3Z6kz1B9OSPtqzBzzm3x8RjBVh0J1IIorvXzvGXp7IxeuAADaHiRT4QNb2wvRTYkYDgkLyC2M\nrUZfw5K1pG040sSKZJFMFBmZ0x4HP3t+7gIAoEGqn9T76m+6SIp675WBcKOiY9c7t78S6L2vV5W9\nGwWnw4l9DfsAAA0+ZStxTWjO/nr1e7EGQJf04zd+dHF/5vN57G5mdD37JlZFesc2tqsrSM2ZXz5E\nzYzPXx7BbAev+cxFrq2/vsB192M7yKYIugM3RVR3Jeg67Au1GAbDtDB7/nWYrIGf3MW8dZfDibtb\nySpQtthAiLaxQXTlDjU6TCRuQOzm23v42XovGRhn5y6h2U/GyNZaXu/1XdRG0t6MZxIIuvnbm7rC\n0ka2ozVANtBschZ9YY6x6rQkpDKGy8Hfz82P4vkpPleth5HC/VLk6ZFBPt+ffInsm8mJKEJh2v6w\nh2NfK8yWh3sYvQu4A/j1Y2SFNPvJMlXNQmVENfkaTB+sqEUmtkf7SZkgdd4aaUMINVLdqT/cBwDw\nCmtE9QsC7kDVLK5XZ1/ltVw+U/HK6NG5FushRDMx9Ia6pblsb6k+QjFqvRyrp8afl3b3mGfRvU3X\njLZb/76QjsAP/luZMtq+vQ075Pk9S/q0NCI6Ghs3/3aWnD8ONe1f0vZpqdA2n+KZsUX0Foq1ErWN\nqt93cfIlfkZYSh6nF6fmz8m9CmwyoFCZbig6hC6psqnPp+3QM0XANQ+X9M/BFs6zMzPsUz2PnJ4d\nxude7ZGWPQMLICWahjl39dHxSqBzVqP5yWwKQYnkb8azl9okl9Ntzo3XGxvxXmhxY7ARc1zvUcoy\nVaRyaTwxxsqdO+to/yrJ3JkSbb7S6o5+lw/HWvieVWovhoXB6XV5TfaH2gDVcqsG0UzMrENXidZd\nse5RpXbrlllpenDXdJlKoS9LmgZ0M0EPBteLflqMTEm542shL4epRm89dorQcmgbadG7jvAgk8hy\n45tNzeDkNEuVaonSS0KL3lXHF6riFzNDk5OS4rlsRtrowA+/nYecf7efh/vxO/kdI6jpcBgBuC9f\n5YLWA3dncHnR4rvbWOr80jwp05cjYxiP8zpv6WbKwRPjFIC8t43PoIfYZDaFj/yLiIg+w5c/SAnf\n4ZG43KHBOBs/e5GijsdbuDwDLj77YHQY5+c5vx/u5T1Lhe6K54IKcuawWGBvMx40rgWly+fMoX3j\nBG4X0nTOBV0Bk2KwWVGcLghUd4DN5/OG0n6joJujOgYel41a0yof7j2xYc6SWCaOn9zFF0bHLt4z\nkgmb/wNgyn4/2OHBx/6e37tyiQ7a736DffkHHTxEv/x/HzPjsVkOuZoGUykishbqvPVmTS6k+YLZ\n6qc9VPuSx9LAiTpfCmnH7iJRex7YdO7qXHx1Lon3N9N5oMKLw+Ls2NuwV75bi9eKvR0X4XydJ2oj\ns7msscmK8TjHb1JEgX1OF2YTPFi9o9cn3+d3vj9Jp148zrNCem4BMRef9RuX2L43d9HJnnbQ9iZT\nc2iWufz0BOdyV5BOIHWQNfubcEZKDu9codyq2p4eKcXeK8GRlda4Fg9QrGbtPDNJm3KirbJyweoI\n0QN4JY6lO5ro4NWiB3OpGWyTkrXLPV/YE8Jjw08DAJ6cYNt+5RAP5zrvsrmsKZFuDszyfU2nnk1O\nwydzTh1kpY6fYuh8UkHNrhKHezafMynfCnUGzUqauMPhwH97km393Ns5nqX7cou/IOyZ83DfG5HU\nrTZp7x3NezAkqXLPTi3Itfl9bcO97QfQEeR56utLnqY6bIS46kag9CXuekEduOlcZkPToqpF4Qzc\nfo1PEppKuNnPQ4qh6IixCXUlQVyL64fSvWC9EE3HMCtSF1psJprmPnVyhntpi78enzvL+370APfu\nUkdPcRDgpWkG8/X8Uc5GLLcXOcXoxjMxTGd4pqj1rr50eiwdw4K837fLmlQHktreSDpasWj5zffG\nZ2FhYWFhYWFhYWFhYWFhYWFRFhvull9L6oN67IClgkYaYS1lOFSKm7Gcn0ZsrooQr7JWrkfEe7XU\n1ng2gasixNnkJx1a0+waxMvbGWxfEhn45rAKLpLe3FXTvSQaqyXYXU7+vKdjGnVezi+NhLUF6MFV\ncedab9gIam0Pc86ol1dLYp6fP4/2AL2oGonT+bElzIh0o28BnUFeU1kUx1t2SXv4LOot/vMzJ/HU\n9+idRVbYNVKK+MJZ9s0vfieAd+1gZO5EKyMO3RK5VZr8WHwMO2vLj205yr+yBnbW7Sj7neW+txlR\nWlZ+vaD2KJ5NGIaCRuE0eqmsh1w+t6miQeVsaVoo6auxgw6HY9X2c72hAvM9IbIh/vIc1+qx5jEj\n5Hq9oP06mZjElvDi0tqa0qEpv1om+uNfy2Bhnqy9ni20a//zp7mmfuHPuca+MfQMDjbyej2S3nKj\nUa1QtM7/RDZp5pr21/4G2soCgyNv9ii1M8qO80vULJPLGDvVXFIWVdNfHup2GLZj0KUpMfWLruuE\nw8yZet/iSNzlBabJpnNpw3jUNaP3VHZGPp9Hi5+pSiqKr4LNhxpon4NB3mc2WIOaGv67JcQ9LZph\nnzw5wrTk4831eHWW9+8N8R4aoXtinPt2vXcUz09zL9lWu5h9Ug66F6+0z69GsHE5fHD7HWyTw2XE\ninXMdD7oOEwnZpZETUdj44u+U678rdpcXRc6T8pB02G+dOVZfOKTXIdOJ//2iYNsh6Y9+11+s4cr\nlFnRKqXOu4Idpi8vzJP5sq2W5e71rKL96HK4zL9LmTxT0jfpXAaNEg32yBFbo7Etch5p8NbhV0+Q\nAXx5gXNGy78HxQanc2mzB2k6+EgsKv1D1m8ml4PXJaV9hVH3Pilaoecrp8OJw5LaDTyGaqDMjXOS\nZtYZZCqZrqM88tecY+WKsOhzOUy/VjdPM4atTNtT7fld14f+vN4MpRpP0DCsNyo1qhroGqnk3SGX\nz910Kch13lqT/qhzd73T9SyWQkX61wvKwszn80hk+d41I6whld7YU79dPjuAXzjEMd5Ru2fRdXQt\nPj3BlNp7Wu9AWErDL8dAzeZzSMveo0UTNOWxo4gJp3vXWvZgZfMAhVL1yuBV1LiDBfrmNWBnuoWF\nhYWFhYWFhYWFhYWFhcUtgg13LauuzFoi45FMdAmjZ7OIKKuncDzOnEDNH7we0ChRWoQWz89T/6Xa\nUuiVoFqvpH7e5/KhLUAP+kKaEadUjh7Kfx2id/ahnt4lUcAPbafo5kqC09rXc1LGtcaTw5k5zouz\n88y3bPCyb+5soWf5//rKDN4ozt2P7b170fVmU/QMf2Ughx/ZXl67QplC/oDPaC9oHuqcfP/rg2cB\nAG/qJpPmj/4+hegwo5rwSu5+DfskFmM0b2o2i5CIMioLqUFEvFQ/ajg2gy0hag9p9FojWxOJKXne\numVL9JaDailhE0Y3ykUC1xsamQq6A4aZoNAoX8M65xevF1TkFPm1Cb8VY7NEuQqMC0Yaf3YPIydr\n1bYx+l757LJRXL13V03nEsabrkXtey2Z+cEjJ/EHo1zb/+lh2rmXZsgEefPrOSbHW+vR6NsYbYjr\nBe0/j8ONmYyUV5e+UZbNJ89S8PX3/j6H+0/QRv7KUdqkWIbRrr88y+u8sy+JnXW09crYLI32p3Ip\nfOXKZQDAbpnenUH+Q5lVo/FJ07fpEt2huDAus/ms+bxbouoqXK88wYn4JDzOxeKHWvp8Zx0ZHP/u\n3dRJ+avvduC/Psx7KVNLo3lDUd7zsn/GtEP1iXR+vaWbWm4TiXEcaWLfXYlQ/FtFeHWOFjMWKomm\nr+c6VlaHw+kwWkYR2cs7Zd9O5rg+Q57wknWlrLFYFfqJxVpzpXZZn+1rl9oxe5Uizgfv2wmgUA5d\nNXcmExNLGD0aadVorNcbNqzNkRjHayHNSO/uOl5X5835hXOGxdcn7F7TTvnpcroMO1THKp7lvWol\nanw1MoBWOT8ou01Z6efnLwNg3+bkbJGROVjvo4052EiBd5/Ti++L9tODnWyrRtH1mYLugHnmapDN\n53B+nsyh74xyXt/fzrkfFpbwWHwcjSJCrXNU2Xdqq58cfxlHmtlejU43ybMXvwfoPNMotdqBcqzD\ntTJwDCtuA3VztD90LMx82QR7rrIz3UWMteWwnrZF52i1zNJqEfLUrOkdcTMU4bgZsV79pWtG33uc\nDifahJGp9qKU1deYacbnLvId09VDbdU+0WDTtbijlvv2VHIGfhfPa3peKNUjczmcmJb9XTWtdJ/S\nogDFfyvdt6rB1tp+kymyHMve4XBUbNdvvIWxsLCwsLCwsLCwsLCwsLCwsFgXbCijJ5fPrUkDQlk8\npWyezQT1FKo2wXrmyi8HzSPvDG6ecssanXI73eiXfHeNGpyXPPh9DRrhyC75fqlKe7F3VL3EYS89\np+qpf2biEpwOfq49wAjanS1kVP3zAPPnv/voJN64h55gHRNlBs1IRYwPbK0zbJ3SqK5+x+10IylM\nqtH4sLSZkcOLC2zX771IVtfo6atAimOE6KQ8hNxbtHqudITxqyP895d+gnNG2QPqWd7fsM1EwIxH\nWaKLqjfgcjgLueAyF/UZNNoczUQNU2IzRJOWw0a3bbnow2bto2KbcqtGnHS+689ULr2mZ9XS1D6X\nvxARWgbFUWO1sRrZ18oMyvD74e13Y+i1jKxfEM2NhTTXc3MNvzuXnDX7gbLEbjZtuEsLlwGw79WG\nqGbK9yeo4/HIeeqsDJ95Hp87RYbK5z5LJsPr30Y65X1baWsnkwlsETuq81n7yC9R3mZ/M4Ju6tls\nq2WeujIRL0t7Mrm0+V5PqGtRm2skwuZz+Y2enZZpL+3/tkALsnnaz1OzF+S5tAIT593nv8exn5uN\nYTzBsdb97sVpfkerteXyOZyfZx8oC0xZBMpg8rt8hln01+dfkeeclnvzXp84eGBNa3st55BPn2Ob\n3r9tB3YKw0UZpBFhaNd7yaZKCHOlGLWydqtlRqomYyzLvlUGs47Zw9uG8cIhsmoe+wlWX3tq/AUA\nQFZsRKMvsOS6qqFXPPajUh63LcC2KiMoJs8TM9HV0BJ9LWUlqL2ocQdNFTW9js4pl/SB2+nGTIp7\neCTNOdQRJDOm2c/PzKfnsC3Ms5PqGunc0fmSyCaxv4FjouchrST3ygyj2Mda9iDkrpzNcPcfsw/n\nZhJobuX3Pvk+jq9GmT9z/vsAgEONQXM+0TNSp2gXKavpgY5jRlujRWxuuUqxpTqNK+lUrRfWY79M\n5dJV2fFiDbP1gO6HynpfzXlF9dA2ktE7lZgxVStb/GSqr8RIVsaX7uGljLrrCd3355LMHiinM2ZR\nxP6UdbXW+aRzW/ftPztN++Nx5XCijeeNN3ffXfa77cFW/Mxutee+Re1SKNszmomh2c0xHZNsHH1f\nKt63irXain8vh9Oz1GDrqSFrSO1zJcjn88vqkRaXWa+U2bg532AsLCwsLCwsLCwsLCwsLCwsLKrG\nhjJ68ihEItwbLw+0oSitIHI9oN7JHbXU5KlGm6USaA57FtUzsfTzxVUZNCK3UzSEVBOnNdBqokIj\nElkrjZpl81m4sDjvXaHaRFtCYRxsZJRUtTPUi/ruPvbN5w578IFtjDipZ/T8HD3DIQ+9v72hbuPN\n1TbPl/HuDkVZhUXV3rU6yy/u7wMAHPwtRsZczU340HsZiT7D4C6e/AYruyDBPh749vNAA6Nmj7yJ\nkbEPbW9c1JfJbNJUEwl7l/dUl0Z09P+uRFj9ZSaZWKQSb0GP/pREqdtFI8kl3nLViboebBmNgJRG\nM8tBq8IFStZ5IpPAWJzaGaVVom4VKLstl88hJ8wK1yr0FWpFv6K+SBuiEoaQRmGVLTebHAMAtAjz\nz+P04Bf3k1VwaZ6R9IiwPPJ5tj2bdy9hJdxs+MR3aFuiCyl84T2cs1p9yC3PlN7L52/7iX340ldo\nr7w+rqUf2EP73upnn4/FnaaSme4BCq2mcW7uMu5ro71SJkBIfj4j+iTPTObxM3t2l22zaqrUesNm\nvJZDOpc2DKCddX18LgeN9nfHZQ6kuWb9fjdOtG4DUIj4+l18Tp1fbqfbjLVhpco0UybIzzw2hJ89\nSG2Z+9v5PZ2L+xrqF/2+WijjKODyV2RrivEn/0Q20ODrBvE7d3KOKwtX11MqR9ZasSbhuTnqu2yv\n3VZ1e+OZBHLgfXXMlJU0KPtujduNRz/Ks4T2ZWtgsa7d7rpdZl6Nio1ULSfVe5hKTBtb3yhjXxqx\nPznNZznWsm9JFHcwOiDtbDXtbJU95Hdfop14ay8j0crw+egjKbz0HBk9h45y/fzgIbbvA9sOmWvr\nc3hL2C2Tce5VbqfbMOqCwnTX/aG7hnNnOjGNcLjyaLLXy74YPXkRnQ+x4pqy92qEXbWvgc/VEeww\nFetWgs6LVLa89uHNjGptua7l9dIHMrYhp3qL1V+j1DYVQzUo56Vy7Xoxaeq8YXhd7LtyDC9gMVtK\n111PzcZXrDQ6LUUseaO/Jecy/cxadQRvZujeshp9muLMA32XemXmFADgf73MPXw6xp9nT43jW/Wc\nM3f+COdnaRYIUPk78Wxy1jBIVeMsVsJOzefzGIvz/FInDFbd91NFrE5lBOl8rYbJoxiMDpv51S3n\nK93HlNHW5GtCbYWsxw2dkS6HE07n9adj3m5YbwePiunp4anJ31C1mF+5zUz/NhbnIeF74zzY/Mj2\nQsrZSmWHlzvsFotPL1cu/IUpvnw8dDyEOhFETEo6RnuQh5BiJ46WONV7NsnhUOn3+Xze9FNKXtbD\nnoT8zn578+t53S/8w2VkcrzOH72N7fpNKXf6lT8tKncqbf6bp9i+k9Lm372HaQB+t9/0z1CUoogx\nMU4JOYD1h/uW0PTVmRAQsbG9bYtLDVpwnnaLAKqm6YxEaNR1LpSKehZ/VlN4VkJpSt18agFzcnjS\nQ4IKc+pcnEnOGqdj7zJrYzg2YkpDKm1fV0q5Nt+MUBprJYfqhXRk2YNjfZkiAMMxrqXScsnFULFI\nvb/aEKXLOxwOeB38P7VHavs0xdPn9JoXNz0YlL7AVYLiQ+ZG43+9nv33Z2cGTPqa9oHTCJtLaq0v\ng8//EvvpsRH2zdEmjuOeetogh8NhDljqxFYRZh2P462Hl3XG7aqnE2Euddo4ZBW6F/zhKxzfj+9b\nehjUcdD55XK6Ue8qpAkCwJFmiiYfbeb1H+qi2P4/Xk2bvVdTfxbSvN5vP8/UnV+/Y9eSku76LLpH\n5eFAS4DtGoyqs5ltGJe9stHXsKYXCD04ryatY+9BOi1m4inMpZi60BqgU6OcE1yfT50DlcxVtY3a\nvlJnNlBYT8UvEWkjUszD+TZxKun1svlswZ5LmXfdBxMO/t3r8l4zFaM3xMBRJB01jkmFS4S99e8j\nsTGTanp/B19Comm2/ekJOoXqarvw4z9EB9aZCdqAB9p5jwmx4X633wiDanq6Oj+1AEd7oHVJ/xox\n0ACdozXuYFXnt3/5cZ43Or5zBl2dfCYVUVZH1R1NBwBUnpph9r4NSMdabxQHGYDK9vobgWoduMWI\nFs0zHVN9bnXwBKtI/xuLT5h+Wq7wjtvpRti58ktwcSl6nefLpbRsBGp1bSFv7JHaKt1v1N4kMok1\nF8e4WbGa80kkw/epV2bOod5Lu6MpuL91F/tRzxxvG5qHbgMvTTFQv7+Rtr84yKJY7vygZIbvT1zC\n8Ramc2sAICzf13WQzqYxleR71q88xnY8/zTv/c638l3v91/Tb94Vlystv1LKlTqJPE6P2ZPMGUW+\n0yUSLdWcHW3qloWFhYWFhYWFhYWFhYWFhcUtgg3nmK13JFJZFdMipNsb6qn4uwORIcTEi7irfue6\ntKeaVIy1wtB61zkNQKNHxeUI11OkrU1Ksu6pY3QwlU0Z7+Ryntd4NoGgg8yKlaKSKtJ5XtInNPJ4\nqJHe2nvbQ8Zjq3CXiBZHMtEljABtz3SCETWnw2HKoCt9rz3Ie704xdLuH9nP6713ZxheJ5+1xc95\n9ht3MQL8yFeZapMdG4O3mR5cj4fPNxFhn/zZqywh+47eLlOG/tICo999YXqSX53j9f5tdALv23pg\n0XPpXNxeVz2F/nZBcZRORSRfmWWKwJEm9ls0HYNHqMa65vR7lazFfElUtdYbNgwxTRvTcT3eQsaX\n2+k2JXlLoYKoQIG5o/ZnRJgAtwriknpS4w5ecw9JZVPIuSsXn62RSOV8isKyKpKbzefMmOlaKr13\nufQxvacysf7gFdqiD24NYYvQ3tci8H0jBbeVEfPGzquY1PmnrEdJsdley3482txgxHo/upf/Nxzj\n/B4XhoDT4TQi/SrkuyVEm1jcR6XPrFGuCUnH2V7bakqTN/l4r5dnyLw5M8G18dD/vow//ACvc3fr\nHYvarulA44lpHGnm2tP5oJHbsTiZQVtFIPcTB32mD4aiPH8EXFqMgfNmIDqIfinpWoqspFr8yrEU\nmn2M0imj7+wc6dlzIuI/Gn8Wb+y6q+x1qsFq2GDnX+VYPfz2FOq826/x6ZXvDZDhVsqKULaSMobm\nUnNLznIqyqzMy+6aLrO3DUQ4flpEQc8TmVzGjN+dLYcXXU9ZJslsclkW7LzMX2XQ1Hk7UAoty/vt\n0eek7WnUergP3N/BNKxTMhdn5znH37Z9BO/fdhwAMBjhWJ+epc0ejbMNu+s9aA/wTDAqbCQtb7+n\ngSl0lyNXMJUg46LRx0h2vUSUgzKXkrmUiYRXAmUkfOzn9+Cdfbx2f5istqyk02mfDkdHEc3QzmlK\njTIbtO/aAi3XvXz29UIunzN7+mpK1CtuJAuzEqg8QPF+qWwaPUOXMtlWQqu/eU3Pq7aimDlT+n9a\nGKA31FOxKO1asdJ5Qvcrl9g23dc2KzaiUFA10Heuoy0HzN80XUmZo+fnmUI7NDiHw0e5DzSLabso\nRQ/ubKHNzeZzyMr3lXXsK8koSohd39fQuoTRrWc7ZVF++coFfHeQZ4lYlDZy115ZG14R607Nm7Xk\nWKZfk7nUsvNVC4SsZC+cRangla6xzTHCFhYWFhYWFhYWFhYWFhYWFhZrxoa4QTVy4nQ4171UsbJO\n1DVejBwAACAASURBVNtcTend0jKs18Jy+i9AQZBr3Aj+MRKj+Zvr7XGOpmOm5KfmwK5G7+FGQD2e\nR5rpuVU2BADMSD6wRvA1whny1BQYEcvMoVQujQWJwnrFq6655SoaOZOcMZoQKph9aYERdy2PXi76\npPNqVkqi+l0BE2nQ0qlTCf7fvgbqTzwyyBKkVyJ+/OweRhN17jw3STHmY3cxaunx9sEtTJ4/eSP7\nRyNJj40wCv7VgUG8pVujkPQgq1DXnCnVOl9V9M6iAI1s6Do61kytAs2zvrJwxWgUqJi1RqJdK/jM\nNXKiTLJirZ7S8uFa9lkRchRYdaUaPypSWiwwqxHu5fLib1YoAyCWiaPGs7IwfLWlT5fLo3c5nJiS\naI6WiK5GJ+WKRBxDbmX8ta/7/rfRMAUA6vrhlohvXJg4aq921HHdRNMxTCTIUhiO8jMvzbA/39TF\n9ZPN5wwT0pfkGPtK2B75fN7oqakmjrJ3XpwWEfJQELvryTb50hWWA7+7hfPgP50QMex7wvA5F19b\n2XvKRoplopgXVolGCFsDZEhcjnBvavDxGTqC7Ub75jVtZAgpi6u7ZkKuv5Thp3uJ6ssE3EHDZlK9\nlztb9gGA0fAajo2ticG7lnn36Q+zz/Y1HKno8/pcWnijFCtpnBhGTT5r9Mb0jGcKPBSd8fTfnSL2\nq2OnfeRxupfs5/od/azT4cSCCGxfnL8MAAjKPBuKcaz31JOJN5OcNfNVobZ2ey3b8PzUVSSyGbkH\nzyPjcZ453rf1HgC0YxptrheW3H3tPH9MJ7mXtwVbMSBlhWdTZIzpuUYLQfzpKwn8+G7+LSPnENWs\n2NfAvaTZ34R0frHQ+Ur4o1Ms2vDBbW5sCZOBrPuKFsRQ1PvqDCtVRXuV9afs45sZxWyHtTAfNjOb\nZzk4jOZa5Uye0u+u9d7xTGLJ/b82+CQA4O/OcA/56KFXcKzlEK4FPferPbjeLKDViPBuJJS5t5rx\nXU+oPVb7Ec1EDDvQ66YdnxVbvUXYsX/0ky/jtR0c/3J6bgAZOXPyjqzvyh2ShaGMYrXdO+XMUgw9\nt3/lKllEn/5OEFev0O4eP0HW8WfeTJtfzPpTX4B3mfkVdF27v1daP8rkb/Y3VizofnOfOi0sLCws\nLCwsLCwsLCwsLCwsDDaE0aPK1tfTw3k98wzVs6fVEEojOkAhYlYoNcuuza4hr3clBNz+a0a2Nzt0\nzIo1c1SpPCTRO6ONAQdenWMlk111Oxd9X+GAw+R51st1vj5EVs2xZupudNd0mUihVhrQsqgTCUZh\n2wNLS4+XVl5o9jeZsqqao69q7xr9OtLEiFp/aMowlNTz2xNitPnXHqQX+0DjDlyV8ufJrFP6gJHM\nBzuZj//0xKsYF2/u9trFbewMkp22u37PTRk9ulHQ8YymY/jy1ZMAgD/7FufQsb0cqzvb6NH3ubK4\nEuGY5MA59OM7OMYjoj0yGmdE/46mnWY+dUhVt38eeAkA4HXynne37jA5uVr6V6OgqkGykI6aUsZa\nUtpdUnWiXMUbrRR2q0DtgEahNgp1JRUcqslr76+llstHapevJHSzIuDymxz0zDJsgRpPEDvEVqte\nQYPo56juVCwTxxcuPQUA2FbLORsV3TxlK6Zy6SVs1bCH4/KuLQUG3ListzsauUZVS0eRyqXNOC6k\nuE71TKJ7UKO/2bC3lJWhOn4NXp88Q8OifgCKSqnqGpX7lGNXql6AsoH8mTj+7hLZQx/cxjZrlFXZ\nL8ogvBHYXVe+bP1yWBDdxGbfYmZdsZ0qrTqnEVutZhcK1RjtO62yo7bt1CxL7u6o3YE50YHR/V61\nznTd5lHYu1+cItOrQ85vXtFrqHEHzdxpEHbfmTnqMflkL9fIaaO/AZcXuE93yvwslDPnHtzqb8FL\n02TsvjB1EQBwWM4CxSwJjWDr+mn1hxf9/tWr38frOvZL//CzOk87ZU9577aX0BncuqgvM/K8ymxM\nZJPLrtFyeE8f79EX6quoomu77Fmbja2otvrcHPfvfmHLrrem5a2AzXpmzCNv1r3ag221ZL69cwfP\nXEebT1R0LX1fWk3p71sRN4rJo+9dWjFYq55uk/OS19mAIflbi1Ru1H1VtXre0n03YvJOpf6FUluV\nyqUxLftBhzA+9d1MWcPF+7PqASl0D3+4l2yf9/6YHy+LXT/U1CZtXazfFc8kTMnb5djfa11rug6q\n8XlsLstsYWFhYWFhYWFhYWFhYWFhYbFqbAijZyNzFVfS0Vkt1HO2kvaDRlNUR0PZP+o7bpWqOGuF\neqM3i1J6NdCxOS8RlkL+e6+JWKq3szSCm8ymkMgwCqjRQFVM1yhgJpdBRKKvX716AQDw6gyjr11B\neojH4qMmkpfM0pur1T1qRAuguAqHVgHR/9OKMF6XF81+sjFOz/JezeJ9jqTYBo1EXorMYzhGtohG\nifvCjDi2BfhzLjmL7bXbF31PPbfRFD3fd7XuNUynUkV3ZTrEYqNL1OMtloeuV4fDgc98n+t7ZIhr\n969OsU+/1sI+r6sPY2RYdB2cnKdf7GB09w13csze1cdIwVRyCjVu2j0dzy0hv9yTcyuPvKkiAKP3\ntJjhQzu2eE1MSoXB8TgrrTV4m0zEIyIVUG4kA+B6IpvPVqXDtlZoJL/U7mo0aaWomGrYaDuzuaz5\n91rsdyKTqCjSfj3hKopWFaoX0R5PJTg/c8gZFtqs6I64JQKmLIur0Sv47c9zfWzdQTv+F28VGyd9\nX07TpVRf4d9Gn8XOOub172/cX7bNifQCxiJcMx1B2khTCUrsZzQdMUyUSIZtnFvgPnWkqQ8AcEHW\nbJOvxaw7XZtZw74raGsptH90b7kSuQwA2Fa7HW/voY0vrbCn7JGgu8ZU1qvkbKNRzpho/yhTNo98\n1XNPNZhCzsIzaVRWbZupPphNYSFNG9nkb0A5DEaHEZd9uqDnxN/DwmJ1OV1m/ajOjc55/ftwbMSw\naSOijVQn+jBTMt/qPGEzV3pkXyzHyNYzwPOTZF3WCXurTfSZVCPncmTIqCKoDqPHw+vrOvC6vGgS\ndk5SqnfNJKcW9dM/D57DoUbO8wMNnK+qafT2T3HM//M7/IXzkFOrO3Keqi5OjcdnGHBJOQ8l5Yzx\n5PgLAIBaj9cw4CrB7vqlDC6du3oeUpZbJpdBb7h30Wd1fqpeVS6fM/N6STVVmafl2I66NgusrVrz\nN9Vy1P4sZ4cnxQ6dn1c9Ds6NtkDLpmWw3ChUYhNU48bldJn9TytzKVtmre8lpUw/n9NrxkrX/daw\nMOXDi1lyQIGVMVdSQXM2OYs6YeuVsjBuxnepmxm6r+t+lilhqEwmJ02lN09JRWStkplH3th1HXPd\nJ4rZP4msZlJwPumYjwoDX/XEiu9fyvjSfWwsPoHeEJlBur8qw0htv9/tv27MRq0EuVwV3pWw4eXV\n1wORdNQYdh2ci1JOW0tLFg9gKfVvtSJclQhxalqFlvnMY31pgjfzBqVUvc9e5AF6IsKD0u+eKIyV\nbvz6nOrA8Lt8hlatVL+wTPjpHA91U8mpgnNlgQfGrGTOhWQj8ruCxtC3lDjfdCEVl3BWES8Vy9QF\n3V3TaYxH0M15oalcHvl7l1C5DzTE8e1RvmAcb2mS9vDgpelZQGGu6PyMJMunFwBLD/ua8qPPYLEy\njLNAfs/kMvjICdL373s3xbQ/fY7pFJ/8Kg8fM1MxRCP89/adnDvBGo51jH/G98Y4X9/SnTebjMvB\nef7PA/zsW3tS8ncXonJgOtx0cFH7muQlYiw+tkSgWcWX4zI3JxITmEnxRaItsLT8782IUuFpxUR8\nwvz7egtOp3MZXJEXbX0R1AOovsSovSkn4F5OBFa/p2l9Ku7dJakYldj3G+nkSRfRm8eNM9Itv/OZ\nvjlMwcLttS7squ8DUCjRqw6CUXFS/vZTYYyNUrDZ5ZKDXkJEh6X/Ai7/EtHBywu0tbEAr3d364Fr\nUtET2STaJC1X546mcGl7Mrm0scM7a9nmT53lmt4WpsPH52T/+1xeMz91339u8mUAwF1avr0IOh/U\nydUjQQOP040t8rKsB1FNZVIb0h5sx4V5BhRqZM/QwIJ+p/hlWc9F60HP13NT8QFY+634nAVwzEKy\nL4/EOK66N+nYR9MR4wAsBFS4hydlny22eSrCfFkcY+2yViLpiGlbg7RD26jXLXYMTyf5wq9Ol621\n2wBwXHRd9sk4qAh2SpwntZ56+Xsccylx2Mk80fF8cpxOoq3hDiPCvbeezzFp1jsdE/0hN2aTyUVt\nPTPLtICPvSGivYkrks6tZYHPz7Ptmlo2EnPinlYNBPDa8ezigg17WvZgND6GtaAwTlwDevbpD/eZ\ndIhS6AtXPJNY1q6tlM6q36kvsvP6t9J5Vw4aXH1LN98JlmunRWXwuDinvU6POUMPRfnCXM6xXQ1m\nk1xvKhre5OSY5cq8P630/qb/VyN2T+1yo69hyfiv1cGjgWu1HTpP9Xed/xaF4E+jrwGTkk6lNIhT\nM0PyG3/fGm405yozRiXmwwGH2U/1pzqj58UxzPvRBmghn8sibv83El/9D4fpsA55asy9zPjJe5fu\nHw2+euPY0UD7tDyXCuqvl5MnmU2Za+mc1vatVMxgOVhXpoWFhYWFhYWFhYWFhYWFhcUtgpuS0VPO\ne9wvZdc0dQcoULqUGrYaT1i1KI1cVFr+7FZDOcEz9ZD+5hGWji2mTqp3fFrSUrTcraZlTSSmTKnj\noHhwNeqn5eb++nwKv7CfLJrXdbDE6NcG+H2NAmZyGRNNVJpo1LB2knLvRlNGVCNXmqrQ5GN08anx\nF9AX5r16ahjtN6kLSUbvZpOcp53BDjzUs1gkeiTGCLJ6/XPI45EBipJ+7jRTELrqGM3d18To7sO9\n26/JYiiOWmxkigtQYBNt5siZ9olSj78zyihsSyCAJ0Y55+ZSdPfvb+CcbGziGJ18aRT5ac7P08I6\nCNczcnT2NPu4rZ2f7X3nmBHynJJoVTbHufTMJNuwvzGIBu/iyKTOyWKh8uXSUZVl0hHsMMyzW6Ws\n+nIzVllyG4F8PmcYA4NSzlgFWKMS9VFWlc/lX7acsNqnFn+ToZLrXvTyzGkAjHQBN77U6bWg45JD\n3qSuKPNGo2Yf3iFpUUVpQmPC9tHnVHbi1z/3KDBJZtCVBEtYPzEu891Je99b48IDHccAFO/p/Iza\nz5X6Tdd8JpfBkDAr1A5rysEzAxyjoWgAAfcggIK47s/s5ZrXctgaYXM73WbvODtHRvFkgnblzOxZ\naVcQjZLyPRIVFkaczxWS0rF3NB9cwuTRM47235nZc/it73HuDF7m3nFgP/erXz3G73bWdJrIuO61\nmm6hzJS2QGvVkewXpvgsOgZA+fQnhc7xS/MUItY0H2W6NvtbDLtGz2b1XvZRsf0qTa3oC/UBKOwv\ndd5as+eojTw7x7a2+tvknm4sSIT385f4mTua2EfK/r60MIzLwtS8r402VVPC1N4oc6vZ32jSlzTN\nTG3EbinB7nV6MBTlHDo9S8bD89OcZ+/ewr9vCbXh5Ayjy2ekyMTFBbZrey3Hrsbtw9OTc9IbHMc9\ndbznVJLzrMGXxsUFzs+7W8lEVdvU3SAssXXglSvzZruwoPSKlcyltYrQrzXFZjOfR24mFItY61go\nU3M1Z8x4JmGYrSouXsrW8azy/amU9epyuNY9VUvPY/UlZy4V+M3n8zd1Bgawfu8QL0zxTN0ZDON7\n47RPP9S/CwBwbzttvzJpsvmsGatqoMyeSwvcd/IAomnukWfnaGs1lfbkEPeHmT2yFxf5FIIlot0m\nfdZRmP/aPj3PGFaXZJ2sFV6nx+yNuscpu62SzKJSWEaPhYWFhYWFhYWFhYWFhYWFxS2Cm5LRUw7q\ndSvOizQ5bavU5LndsJIwXrWYlRz3XD5nytW6hSWj0SCNhvpdfiOk1S4isqXshdZAM7LLlAhVoc9G\nfwp/ee4yAODhXrIzdjcwcjhm9AI6TAROvbJ+8cDHSkqgA4VSpx4HvcUavb6r9bARqfSLUKLL55Jn\nYJRD81LzKHhlT0kEf18Do28abXIB2N/ASPhfvJF98MoMc/YHo2SP/PWFKzjRyn453ERW1Er5ymv1\nwquXulJslsiZeuJVkPPPzwwinmHbHj/Fn4k4+/TDD/D33pAH+yXSm8zyb30heud/7kFe50s9O/HE\nt6mZkEqLnpNo9IwO8bs+mQPfHGhGT62ybHivh7ewXbvqKbqdyqZwJUI2w4UFRunbAowsNHg5fzuC\n7Xh5mkLeXhnrXXWMhGh/ux2uW7aceikCbv+qoj2rgdPhxNbaxSW6NZrSFmBESCOSalPKYUEYAEF3\nwOiNqB1pENv4whTtwvGWg6vWkNsIqM2bSc4YxouybJ6X8tUHGinmms1lMSnMDbWx2n8aBf3kb7bg\nUy8cAgDcv51raDDGef2lb3Hd/Pf3ZjEQIRNCmZ47asmeqKlg3qsd7KrpMBopWqJbmRtv7dkLgGM0\nKnvFRIJtH5XCCvsb+FyPj5EF+EDHEWScyvji3rG3nhE+ZYu4HS6zP5i9TdZts+gHZHNZ/PMg2Zz7\n6hnZVg2SnVKePg/ggW287yfP8p5NQUYre0Oco9FMDAtpZavQdv3LEJlGr+8kU8WBgnBxpfjUK+zz\nruAFw3DR6Gm56LgKtLYEVDcuI78XnldZPwOimdAX3iLtW7pn6fipXb8aUcZVpxEgfnqCc29LiGL2\nxULQeq8f3cHP9tTsXtT20dg4JhO8x8kZ6rK9setOAGXskMNh2GgjonvTLSy/VtFMcjgceGqce/er\nc5z3/SHuBc1+jsNnL15CyM15EHCR8fRAx4FFffDUxCm0yVFMz0w76shizkoBiCZfrdFxUh3B743z\n5wdCoieB1Ql4lkPGlLyvPEacyWUqsmmq6dQaaFl0DyuWu3lRTpvuWtD9ezA6gDqv2MnrVIp60bXW\nObtC2deXRUerV5j9usdU0vZcPrdu81sFgtcT6dxivbxirMSQKv2/463cX3/lyRFcHuWY/8j2gtYd\nsJhVsxat0W1S1GYiPokdtWqTxZbIHAi4ngUA9ISOLfn+crYtm8viO6PPAQDOiwzQe/q4P+seUyl0\nrLRfHUb7p/BT91HNNDk9Q+bnPjmHlBuT5WAtqIWFhYWFhYWFhYWFhYWFhcUtgs0bOlwH3O6RgGpz\nRNeDyaMoroKhbVAvr1YmGYoxsviO3hNLSrFGpNxqsfZCbUmllHNSpn1Oypl/bO8hPD3xIgCgRUqf\nv7GL31edgDNzZ3GoUSJn7gJzBwAcSYe5t2poTElUNyqldrWaitPhNNHk7DIMA82Lj6Sj5v7L5SID\nhdLtmrNfa3Qa+N0f7Gs30S6tPNZT0y1tqK6iXKZEb6IU86kFzEqFjZsF6vnWakAP/SH1EYYH5tDb\nL9X4mtind+6nN3x7mJ71LeE+fPbCZQBAS4DXeXWOY98b4hza0zqP8Z2Mbj//Hc69iZREHlyMzoZr\nOW++/PUJHLmTY/NXb2UkX5liqtnS5GvAve1HFrV9WKpYdNYUyqMflHLRqg2hjACdd7F0DD73tfXH\nphJkJmn1upvVPm5UWdSV1pJqu9R4yEQorkZVCqNTExszjBSNsDdolUj5+3Ry1lRVmxZNslLbuJ5R\nwGqhjNkad9C0QVk+IzGyFhp8ZFw0eBvwwhS1jd7QRdaOskZ1DE+07ULrPWRRbA13y3XIbvvIz7Bv\nG731eHTkGQCAZ552r7OG+4vqr2TzWXSLLfSUVKkoVNhzmEo8GrXT0tRxYXPWe2vRKcwbXW99YY3U\nKptzn+kP3Sfe3XfPon4alHV8OTZuqjS1+GlHDjdx/zFVm7Ip7K3nPbcIs0WhtmI+NYc3dfH+7/so\nP6v6GPos44lJY7O2iZbKiVY+r1YFUdZqNfiT13LPGogOLOnbciitjHRmlvuZ2rg88ob90iL7mTJ6\nizUOSu+hJZP1eWeSc+bzx5oZMdZ1WQ4agT81S/acljU/0LgXc6nnAQAvzvAMtLee49cs8yWdTZtn\n04h9qQ6IPnc8k8C+Bs7FnhAZVpcXuDaS0ge9NXFTwv30LL93Xzv3JqPF4HDi6SmO+S8fYFVG1bp6\nUooP+l0zeHsPWVYhN9fm/W28juoEhTxhc3ZaK3ScSm3SSqjkTJLP583ZBqaUctXNs1glVqoUpTbb\nX8RUKdUvKdW7nEnOmKq4OvdKWYA76nYs2x69TiWMzUqxnuygbD6HOdl7lEl3fp5nwt31ZFxoOfhy\nSBb1l1bUW8l2VYJqGB4Vo6jPlGWj7MJn5T3uzhbu7QvpCJzCHdH3EdVc02f8+IEcXu3lHuV2LmZL\nK9aqbaR7VPEZuhSvkXN3JRpEela5ErmKq1H+O5nlWV4r0VVzHsvmsqYKYl/Jfl8Ouu4ONvLckV4m\ns2Ul3JwnfQsLCwsLCwsLCwsLCwsLCwuLJbilGT3XwvVQRd/oSkcrYTO0YTY1ZyJ5mtv+b6PsoyNN\nkp/ocBh2grZYq2/FMoyC1nrDxruvP4Mp/t9MkvnqTjhwtJnR0gnRVfjKACPKYQ+9oHvqgsYjXZqz\nW+crMIauSt7tWFwrcmXM/wGsaqJ5lmfnWeFLK308NcHfX9O2x3y2TjUJJMoWzCz23j87ccqwhvY3\nMIKsFX6aJfo5mZjEo8NsV1uA31fNBNN/+VxF+fPpazB6wp5Q1VXqUpLP63a4NpRxoM8yLtHOPz0l\nYyTsmv7tTbh0miyBwGH21xt6GNnuDdHr/+dnzmA+wUjoG7o45q1SLUf7aH/DBO54HefOX7UeBgBc\nvcR5emAv505TkJGaFy+GMTfLezwyQDbC0WZ67x8dZrQ4khnAtjDXxpu77wJQGOtiTIrWk46rRlam\nRYMoj0KVHYXJ1xYbMB4fN6wyjRxtRBXC9UY6l1lVVHm9Ucoq8jjdxvbnSmrcqJbNYHTIMOnUNivz\nURmMQ4kx83+X5qlf4hYGl7KANgMTayIxVRSJ5Lp5eAtZLcX2p9lPe3VBKjB1BmnTlD0aSS8gK/0W\nkQhprczl33+JzLx39l3FRIKf+cE+Rg/dDtHaysne4nCbftE+1ginanV5nG6EpFJSWOzxbIr/VyN/\nz+QymBEmlVayC0tUcl6i3iHZf4rH4bSwRFQfQFlBHqcHL07z2ZXJo+ObEZbIS9OnsUd0u0ptt7K7\n2pTtgIKtV3vnkr4IeUK4t43MFrVZ2+ukSpLOTZe/aqKEjlVfuG9V+lEdMuYX5qkX1BpoMWwY5cQo\nI6AcdG08O6nVv8iq9bm85rm+NvgCAOB1nXsXXc/n8mIsTts/EuP8mk/z/7bVxs1nG3xsyY5aqVgl\na1aj9PVSYa4t0GLml/6faqbpuMYyMTOXo2mOcUKIn6qhdGo2jJ/eLVWx8jwvaMWwaIbtG4jlEHTz\ni1pN9lsjnEuPX2WfvnpyDI/u5z0+dgeZU1rt8elJzpMW/yxOza4Po+d62VyHwwGXzswbf2y97eBc\nIeZfjumvjPIWOa/o2V4rTi04PWgW21VNzTc926iu2XrCVOgD10WxFme1cDmc5v2hXnSGOsTmV2Ij\nde+YT80ZVu9acT3OBcV99Oocdcf0XWhcKkw+PkY2ZHdN87IMFZ0fIU8Yu4W0qSzagGRt6N7ncDjW\nXU9Jz2uZEn1WPcMU6z6W9qP5rMuH/jDHti9ENu1qGGcup6siJk+57wEwFaGr8V/c1o6e4k4qfTGq\n9iVIxSJ7Qt1Vt2MjUhH0ZXg1pdlWg6sisjiXmkN7QKnwPFT/6A46MiZFyPTC/AVciZCi3idiivrC\nq1TS4rEajfEFQDeQfY0UxJpOzhijod/bWcvP3N9xHADwhUtP4UAj+1tTBFTIVn+GvSEjwvzfnuXf\nrg6Kw+cBCmI+1HOHocE3+1rk+7z3fe2k2KmRXEhF4JT2X17gM+tBVAU6d9T1mPHXw/2lhcsAgJkk\nD42pXBY7aulM0pd2FQ7VFwuHw1ER7XVJWkOJwUhmk6bUb6X41jCFyu5s2WVeYK83MrmMoZC+PE0j\n/uRJPvff/Mj/z957BsZ1XmfCZ3rDFPRKFBIEm9hFURJVrGLJZRNpLbfYTmJvEju242ziON2Okzhl\nnS+b/ZLP8ZeerJ31usRxHFuOmyRbttUlqlGkWAGS6G1QZjB99sdznncKZsABCFIU9z5/QAIz9773\nLed97znPeQ52FK/DJ/8yiOd9/Dw21dd2grZPyvJdHQnJd2DMe4MYPwrkPjmFvvnPPRvMIb+5DuPX\ntRdj7nHihXNPE14Sv/kDl+nb52bQF3saM3pvzH+HzSEpfVHlePxgHKKizAj7+8ebxenC3+7civH4\n4Ha87LKPHTZHIX2QgqUxrL/N+uLJUuzriVfCqe2yO19RBw9RyVZPqXOaY0DxWWF56BU291l1RmyN\nbDO/S/gpjo85diU47unMTWaTRjyxvFXFDq9WH14wZ5JYZyblTW1TnTMgUwm8/E7oT5YoPzGOvfRh\nb0q2R0iZxnqZUfvH9CXJ542DbTgOR2q3psKy7HsqlzaHJXseY/J3x9QOB+CQ2lmflsOaLjMew0vL\n+7bjmT0q3MyzQouvyaRWDasToSuA9mX0Pq2+ZrmrE/tDcWqPiMgJDRC47Y6KKRMilecZ+5t7QKMH\n+4XP4ZWElApyciyGFs9qe1pXfQYwKaKZJXG7L/xyxL2NL4N0muxsgBOm0jMxlYHiyrF0XPL6Qkab\nu0HF8ZkCMp9aMNfaFomUfHYpiz3QZXcZR8xAuLQvxnT/76nrNml/fifGk+dApsAx3SuWXhSfzt2h\nRdj6mSRedPY0Yu1G3GFp1CABMaBl75kO3ReckR+NQxC8y4+xD7nxDHNptCudtcuJWfxtUp16Ewmc\nS08cxf/PPnNSslk81wOasnWwGfvEj3dj/n/xzKQcGa08vyxYEFmehrgSsrmsWXd0atC28Tqd/vaC\nsOwqXtpNWvpFiPFWQi6fK+yftfudVkSTWeP4WU3CoRK4J6VzKTmr9mibpnxxfygP3r3SaPMh0JrN\noQAAIABJREFUhffpKexbA6FSJx9lKSqBfR9yh0xaF9+P+P5bKUBdLlq80jtyuTPHbXeZgjhMt+W5\nw2YvnZM2sZm9g9+ho5JzvDPQIZ0afF9vME08XEOKLd9/z8dGpStQvc+L8cqHBi1YsGDBggULFixY\nsGDBggULFiysC/6vZvQUg9FAv2NtgsRrYfLQM1fO5LgUkVtG8RiRvRjaYi1g2dqu+k7j0bcrxZwR\neT7vWHxC3HZEutrVK1xOF83lc/LUJNg0exoRGSRLiaXTg65giXiziMi1TYiysUff2ne9YQLlNNpJ\njy0jhe68S747hSjdIz/CN/u3ICprImpzJ8WjQlzHoogC3t4BwcSGMjZLwOk37B+vivb2a6SQEYxK\nnlymOXTXoX3zqQVZ0lKqjGRTCJUsnlQuLeMaSWV/MwLZXTRH+ayMQjjKoi7nYudkfGl1jJ4bWsGE\nsYt93dgejOzQS0+659kYoiDzqZSMLSGK7tG+3b0F/TWTZFnrJXHZ8Zw+V2mkyJQHtdmkwc35iIjq\n8TnMr+4A1kwmlzHX3N+KyPOOetwrmkIbklnc59brQ/ILO/HsZxfB1mj3g11DtmA2n5N0WcrCtU2Y\nF588jAjwDVuS8uBh2IcbW/CTkY8ZjQIsphdMCt+Ls4gS1ylz4lKyQK4EhsmFUJxqeanRoBTslVIn\nq4mgh93KZ87nTcSLjK2VbDWvlzX04ksgyFiE88pcPRodlRta60raQNq+nUzGojLeB5pgG2nvGH1b\nyiSk2YfnZMl6rnHnHqSi/PORDnmriqkzTYxlX4ujg2ll+5BRwnEwZb2LIq7/fOoJEREZiGAOvzCF\n/u+rm5KbWtH+9/8zGDPPHMc9b98FG8ur/ObuJknpPcOu0pK6TC/0ej3mmZOmHO+gPgOutLN+mwyr\nzW5Tu74S/Z/nhQ3K0iueH7x/VBkkj0+CidJTFzH95civLb4XrqFEdyqbkqemXhQRkX2NpWlkxHBs\nRFqNkDT6Jq772rSyfD0Oj/QGUUqcDDn2Ecc34AqY9LW5FPbB7fVMfcXPaGreiKZ+/AnY9WvbYI+z\nOfRVsjlhzigvRfE37tffOK9lzTWl696ebSaVbEc9GDPPTCElbVTbl8/nDYOS50qy36aTOCu47TmZ\nT+HZt3WAkcx2tvnAEGjx5mRrBO354hn04eER7FGTE4MiItKxa6Ps3Ye+/P6zmJ//HoUN+IO3YI9c\nSIfk8JPDYsFCNdSS7k+ML00aG1TOsKCNjabmlrHaiFrOhrQHQfvF7du8Vz6fN3bYvYpnXSnbojwV\njOWwKz0ff8dzLNOAvz8WlUOtsKtDKhcxHMOaP9AM1nml1LlK54iVCkKsB8iquUtlBsoZTMlsUnK6\nH9JmMyuAZ96AKyANmgZbi3g031cdtRQBkNK9L5ZZFI8dfcez1Epzjn3ZoPN2pc+SaWQrSxf3Ob2r\nyszhdShVUuk90DCktb/Zly9FE/LIRG123WL0WLBgwYIFCxYsWLBgwYIFCxYsXCWwGD2KcibI5UBS\n2Rh1Gik7H4N3LpVLVYzWrQcuNZOHYBlbkYIn8rwKEVOYmB7UiDskh1pR7o5eVHrLF1SHYGppUnq1\n/C6jgC4tj74xhMgfPZ8iBU/yyTlE23rqCqLFM0kINbPfGYku1mna3YB7/dsv4v6nVFtnaxjMnnZ/\nh/HcnpifKXn2co++zWYz3uu9TWC9MLpAL/zp+VPSr3oq/F55OcpGb71MLqFfxk15vl4RKYhPPzpx\nQv70m3iu/TvQv21BRAh+bVdBLI5jQkFfsquIzeHNstlUuv2h1AKv9qPT5jDPsBZmz7CWJk5mkzKv\nUU5GgMlSohjrYjotuxowJj110EAJOCF+HHDBM++xe+SuTrRtd0NU74Hvf3cErLqtYbt8/SyiEQNh\nRFtafOj3a+px3Vhm0Qhm39nJ0o14riencJ0dEYxPV2hJTs0jKtUVQFSKYps7Ioh0J3OpInYZxoMM\nhTdtxPw91LZPXtcFJtvxeczPvY34zPPTyJVu8wfFru1gDnKuQr4484DJNtiga+LVDkZTaBeK59rl\nzHO/UFR0LD4h8yrGOqClZTkWjOg47A4ZM9om1XWVikt+ihRsWbFoL9ce59RahHTLQVvbEeiQc6rD\ntpgGk+Aa1WBh/9c5/RIpK6FLlg8Fj49Fh6VbtVe4B/Pn67uuFxGR3Q1jhrlBgXpGi8lkdNtdJtK1\nJTJQck/2g10Kov+3tuE652O4bl8d1sZU0iZ+J/dIZetEYDtcdvyf7KLh2IjRRqM+AZ+d4qbz6QWj\nv0P2JXWzxpdgMwYXh2RB+5Dipjbd/ygkXbyfEoxgmqh1kfgEmSS3dew3/bNWVJrXJtKqz8n9LJ5Z\nkl0N0MRxlUVsqWcUz8QNY4YMLWooULg55A4ZDT32McecJca7Ah0SUSZcm3/J3F+kML9C7qCJtP/R\nQezpiSzWSE4oaj0mYRVU/e5Z9NOevejb13dh/++tU7aqzW7mGUu7h12Iwn7o4Sn9TF7u7ntaRERu\nb8f8p3ZJo47vnZ0tck7XLs84ZEwt6ZweW5qV7wyjD//1ATzX1OSZkj6dmozL3ALmyuQE1tZcFPPs\nD+9HFHvnVq/86y/qvK9tK18XkHmVzmfWtUy2hcuD8jNEMVOhzd9S8TvUjOS6roRirTKei2ljzipj\ntFxrc62gTaR9Wi3KGT20eyiRDfvELIRy3ZdicN+bS2H//+uj2G/e0R+QMwuw8be2Q3sx4AyWtPlo\n9JjRCkurgH+lUuyXUn81k8uYdxX+TKme2pBqiYoU2W+1Zcxu4NkzlUvJqGrobdRnop2gXS0+v4X0\nXZH9/r2RJ0VEpDMQkdE4+nJvI7SNyHyiXfY7feYsUQvLJltFK4jPG03NmX2d7WKfc38diY9Ks57B\natlzWaiozrl8nk/oO92c6roxC4TP91ObD5rPflweXvE+FqPHggULFixYsGDBggULFixYsGDhKsGr\ngtFT7lXN5nMmB/AfT2ilnyaN2GsJ01cDGJ2kVzCQhZd2KbN02Zg3lwOzmjNJDQtGNpeS+Hlm4Zwc\nbNlb8h164k11lmBP1Yg0dTjEVlCA/+jjiCwcPY2IQXcnIuf/9oWXpK0H7JXHfw0Rc86raY2q5/I5\nM+f6ghtFRKTeA68qq77YbDbTxpE47vEXLw2KiMjru/DdzSF8dzQ+IpMJtPHG1tLnZBn3udSSYXQZ\n/YIKeamMdDAS8vAoIod1Ljx3g8cjjc2IpvzaPnx2cAHe9ErFBurd4Qq/XRvohz81f9pEI5iPW8fq\naUWfL/eyk1F1PoaxOzydk/dtLWV6MVI7uIg59chYWDq10s33R6GrlM3b9N4Y56GFYWn0Iup6Q9k8\ni7jR558/0SydWm73P20AkyCq0Zfjc4MiItLiixgtnrOLiMafjSHS8OIEvPgbg/j9GzcEpNmHCHKD\nVlNhdbC/OvaciIj4nRm5pQ1tZMSGrKhb2q81bTzQjFLufUHMT7I4NoUQSeoMdJj+YTnl8qoV2VxW\nnpsGo2hXYynj4dWGUY0aci3M6ZzoCXZf8ntX09ipBQ2eSFGlDoCRIf4UEdmoNmclFtyZBUT2yUQg\nC6AY/L7Ttn7bPNkjbrtLBhfJ0ECf7NRHe3rqOfP5/U27S75Pe07WkkhBz40szCBLnSsTqTPQbuz6\nf38BGlQf2AZmEas0ueyuqnvmoNpYr8NnGCDUUBmL4xn+65fw2V96Y1bOxbBXnDmpPx/FPXt/GZUb\nn5pC1PmxsQb55V2IunUEyPADphL4fau/1TDNImX596zgMZeal3hmUERETijrz699cD6G9jV6G5ZF\nGo3uHitWZVMmykpNgvWs5JnN5wzbklVjFtLz2hb0/ebw5qIqXZiTpqS97gGx9KKZ75xPcWU0RVMz\n+jMqOaPLhn2BEV+yY8aXJk3lMWdZeeeJHHWaHIbdVK51wf+HXEGjr/M7B9CuE3Ngq3ENUTthcHFI\nXo4ikn97B/YmRo33tSMy/z+/nZP+RjzrbVoUhWvQVRT176nrFRGRvzx6Qp8B7Tw9i/76ue0uefw4\nnvnsEZRyv+ttuGdTAM/34vGEnD6BObJvP84N93/tlIiITI7jzPFsNieDfTFZCy5Ga482yuf0S6CO\nZ1tWErywFuZqPmth/VHNdrT7W6t+hyxDr/3C+is+p3eZzgvPibVozXFuTiVnzBmL507D4lyj/TPz\nXp+H7wPcY/I2p6kM7KnyrKlsyrxT/NL3sV6ffBR2pbUNz7mnKSYhl+rWqWYbWblcc1vDW8y7htO5\nNmbSxSKdy8hoHGfl78zC5g+EYKe6lBmez+fNXkfdIvbbYga2KJvPybeHsa/OnkGF2X2N+NuuBjDn\nw66QYSxx/MgcbfDCFtS5QrIphD7kmHOsnNSPcnjMuyb/Rgb1rGqltau25VwyKq2c1zrG3G8H1Y59\n5kRafmozxrq88ivHqs3ftiq9K7JzKlWZ41mJ73oXo4lpMXosWLBgwYIFCxYsWLBgwYIFCxauElwx\njB5WMqirkNtZ7pV12Owyq3lrf/ddeN+ueQuiiszRXi/NnVQ2VZM6+FpAnRF6j03ESn9eSqxXVaRq\niGmEbnxpXGIadWOkmrnxjMb11HWa9tAD6yzLfawEekEZ8VnMxOW5SVT82N+Kvw004PsPndSo0MyU\ndN4M1gOjitMJROImNQrrdbhlIAzWA9kTnZp7ys+MxkYlrFHTsTiuvTGE53lsgtW44LFu8orc1Iqq\nM+Vz2a+5mU2RZpP/yXtuDvcve2bm+p6PIQLZ6sN62RKGLsK3h5+Q//e1uE6XRoyp+xBV5kMsEzMe\n7nIWBHUR3HZ31aoJ1fDHzx3TtiyIW6tcvRSFB71fq5Z86gH0+a/ePS83a5Uu6jOcjyHasb8JrLwz\nC08tm5+MVFO/46bWRZPze6AZfZCg9pVGkrdGNi3L/yUz4/YO6Ipc2zQnPmepMj+ff7vOxZAraPRO\njsyCuRNxo6/fPoDIzcYQWDy5fE6mVIOD+kcbQ+jrZh8iIoMLk/L8DPqbrIbROPQnypkfxb8jC4tR\nE5ssX8PlOekOu0OubUZ/+xzLK9qJrG/0fyVw3a41bz5N1oId/RBZI5NnNRUIWTGJmlYrRTWrwWV3\n1WRva/kMGWDsy0rzhWCOubOChtFqkc7jWmPxMdkeASvm2enBkvtsj2AdjsSHTfvOqT5bKldaEWtn\nQ4+Zf6EyPYbiSCn3Cr8T1yN78m19mMtBZ8BE4spB253JZ2VC12S76r6wguO5c4+IiMgv/OoZkZRW\nwksWNNtERD7zRUQ07/oIIm399YsSy6BPY2kwPvgsCa0aM5WYNna4GsLukOysx9oc0/Zxju9qgMbL\nSlFC7pVz6QXJ6JwuX8sjMdiZJl/jmtnCc6l5c31WfaQ9JPNoS8Ru+uDjWunprf04C7DymqtCBJwR\n3Bdnwb7aFgnJ+fhMyefddthwMoPsTrux0aaKm9p+zrN4Zskwnhg9dZdp300lpqXZiyj6U1Ngb/XU\n4f9kI5MV9Mj4mDw5jnte34p7Mdpc58T8rwv65Cc2oY0cm0r6EwnVgLqxJaPPgHt0Bya1T0VeegF7\ntr8FEeTfvA7//9hDypIKe+XYS/j81/7hUVw4jTFa8MAuzswsya9/trpmSjnIsphYmpA23+rtHNGo\nfVpsmxb1/FKpP8rBvrvUZ1ULq8NK40CW4Xx60ZzrVvo87Rr3ifKKtbW0I5FZknwZM/1i5ko2ly1U\nx1KWqanaVMTwIUuPtsFRxv75yCND8tm/hb6ijOGMKloZdnYT3i8W7gzJ42PYO25pd5V8n+8DNpvN\n9E85k5h7rsvuLNEorQW8T16q7y+8psNml6Bqkb2uC/u+XxknPFeMLU2Y/YC6aDbVu2NV2G+ee0I+\n+v9pBobur7/5S70iItLhx7vV4xOD8qbeG0raQVvd6cf5upxRUwl2m90wjI5GUX2SDGgyQD/yQ9zz\n6984Kz/4GPaJjZqJ8QfPgoH/3z+FPUkcdrnho/h+pXczkdVVryv5XoWzMH0YrDBajkwuUzOz/LI4\nevjSn81nzcs1J2hWf5LqXMnRUwnc7D/8ehyovnwKA7C3cX2obYaqdwnL1V4pGxdfYtie9Ugb++pZ\nGLjvnGmVH+/HYSmbB/2YYpQbAiquXDTJh/WFIK603U266AJO/7KXdBpdLmYRkR31eAE61Boueaax\nGBb6E5t65TW7sHB+MIa0p8+9jM9+aBeWw9bIVmPgYnowGSlKNRAR+YMnHfILu9HWW9rQfyyHyP77\n0xdQHvhgs3+ZeBqFtvhC0O5vLaKbqiB1kSHG/7PmBZNODF6XYmdNXp/0BHtK7kUaLK8zlYhK0IUX\npIppkVJIs1sNnh5Cm475gvKJG3CdOzvxQvDAyLN4zq6Qtn9JvnYOjqFRdZTd0obvnF6AmHKLz14Q\n5dZxoGhtm76o/XD8Rdkaxr+5GbMfj8+REu+UPhWtJs6ogBzpt71FfVa+YbKvFzMxeUkdPFvC6B++\nhHAOOnSDW8rMi1sPOkxJOxYFBbQvCD7/bR0HTH/by5w1pJgWp/QQXC8OWZ2t48ZBAVtSQ1d3PLh4\nLCuNvUobS/HDixUfZBlvt/vC9o4b+FocPMTg4tCyeUis1dm2krPMpPToSy8P3m7b2u37QyOwmWcX\nnfLTA0jLuqEV82hRnTF0REbcDWashxbxMjoQLjhCRZDaSVo61wK/w/kazyyZz9/TDaepT+fumQU4\nh532sWV9e3oe641pWn6H2zi2P3PicRER2d2A69z/G1jPH/tupzz6L3xhTpVcL5PCvnN4Gt9JZu1G\nMPvMwmkRKdgBlgavNEcrvbhSlJFj1Blo177APYdjo+Z35WDfuOyuik7f4uuW25nVYC4VNTaNaZMs\nKJFUO53PFyShvU60azQOe3NyHvs/U2pFCn1Q7nz+3tiw9NY59XvYe2/VdFaWz3U7XOKxlYq5nori\nHhE3nAthd8jMr0fHkVLYF8QartdDv9fhNeO3Mci9BH+jQ2vEFAhwyH2bYJsptv/MlDpWMlhXB69x\nmvSuOzq7tH8wl3g2+NH4YTmzgLF9bSf2HjpV2Cd/fuSwhCP4TEMj9qA/fAw/jzyPs8eWbc3i82kK\nHzvPj8+0tqpDzG6TA3uxN37xe3JBcP2F3eGLOqNWcj5zHmbKXggr4VKKy1ooBW3vI+OHZVsEtmul\n4EE1NFcQja8Faw36iIhsqOtalgK2Enim5BwcVsmEX/4u7MTLR8aleyOe/Y/vhn2LlJXndtgc4jCB\nNsC8M+j56o7uCfksb6oOHqnDeW7zAGzgZMIu44ulZ/GTC7BhDAJvqOus+kLPPd4utlX3IfeKWCZm\nzoJGdNoEtuBYbvO3mPc1iuEbOQbtk1Q2aQLQ2yKb9TOwRXSGn1wIiDhgNyWL/v/2s7AJPXUIom0M\nFt712KfPz7yobYVt2u3wVBSkLkYmlzHBvA4/HE0UCXfYYGu7IngvbGjwydNTDPRjbzs1hefr3oLP\nvvHWOjm7iLE9oe8WLWqzK5VFXwv4bpuXgh3mT56T+UzV9vpKsFK3LFiwYMGCBQsWLFiwYMGCBQsW\nrhJcFpc5PW/ZfK5I5ApIaKSjt4yFcCHQw/nmPpQYu6UN3rhaRLxqwWq8Za9GFEdq1qvPivGOTUit\neUPXnLgc8HpOJ8DGYPSSQmXddV3Gm82Se6RMcpyTuZSh+86X0X8Z+fXa3eZv5fiZrRqJ/IlGeUsv\nnvfMAiLQv74PUbbeYIGOR6/pVGJJ74V7vDiLSF1vQ8SU4a33wPPLcqlkKoTcuMZ3RqLS4kMUkKkD\n9Jy3FlGjOSZMyzAi0dpvxalULBvN9URx0+lEoip9kCV6K5XqJShWupZInt+L+3bXx8XjwHWYSpnT\nMO8fH0LfzCTdsiWEX25Xti695Uej8I5/cHuP6UsyeQw1VCOjB5u3SkbTSQjOL7thqHlMlIXsNUYj\n6ouowhkTPUf0ltF/pkg5bA7Z2dCm10b0pMWLiO/h6aMlbbiueaeZQ2xrkxfRBG9R9JpjxXGkQCuj\nJlPzU6ak9XqhvNTtWumma4W3TFyT0aNamD25fG7dIr3VojC0RTaxmXXAiOHF3DmTSy9jc3CukUHg\ntruMzVtNv1QCv7eerNTbO8CqmE/NG3YIy3+Sap7QNe+yu8XrxHPdWiQuXg5GWP/2ZbD+DjZjvWyJ\nFEqzs3x5+dxZTMOusq9ElgtxFkdDaQde044I3/3nIOzdrYLu//8b6+Xha5F69oufxJlCJmDz+/oR\nhf3QDuwT0eScSRveXr+96vOVg/PLUZS6TdZJuTj+mKbSMhWpGOkyNnSrr8X8jqXMG3Ve1UJ1vxDa\nfG0m9YYpvkzl2xRs0TalZWwJffrebbAzHkeBXUNw3pMBSRvE9KWd9X75D5BW5C29Ef0b+s1rWCGF\niC3HnEyeVA7jeXr+lDw+ifn5yDD2vUeeQNsf+kXY43pPRAJ6hqCt92qa2IzObfb/azvbDYuT++jO\nBt2jNAU8lUtKmw9MZM7BY1GwV1mcYEOgSQbC6B/uD9zbbLqO3tTTIl9vw/y+79qY9hv6pO8NmItP\nHEnLf3ykSe+Lfvr087juqXPom7NnZuTd28GC+qJcGJdSOqCc0W/hygDXn9NmWxOTZyVw3WYN8/DC\nuyhZe3nJ13QmXc0ZhqlWZPQ+OgF79fC3sdYlnZKd+3AOc9pS+nM5W4bsPO4pZ/X8/9gE3l1ubGmW\n3/oIzpmf/hLO+YEAbMfbbsOz7KxPyE/240xJthvty0IafTC55KnKlDLs7jUwotiflUrY064yZbr4\n8/xdRu2NQ88XnYEOY8M+8D2cX+/uQ/rTQBj7ZJMnKXYVpA92IbWzox1/a/biGSb1nasYEwn0cXdA\nWZgrCLTzHJ/JZcy4Laj9ji2h7bSx/2UAc+ue7qwMaDoW3yf/5BD20NhBfLYj0GEYiLNaqGVa91m+\nT6w0D1dibQ8rE4oM2Z5gT5H8TKkMzVoybixGjwULFixYsGDBggULFixYsGDBwlWCy5oEW+ztopBV\necnR1YLesTZ/y0VdpxzleXEXAiNKjMxdDmHT1YiJZk0U8fL69nxOn2lfoK5UnyFeVBK4vL/ItHhu\n+gXzu92NEOmtU0bCVIJijbi+2+EWd85dcg9G2UIqJPbRPX1FzJnSqBL7M5lJyryWjSVr55EJRE3v\n7ADb5uY2t4lQ8l4sj/7wGLzZfgfuc1NbxESyqEHUH0a0mhpV+XzeaFyUe9iLmTzUuyJLzugWqSe9\nI1CbxlU1QdxytsdqcO8AorTNXqcks/C4f3lQy9xPIaJxLoaoyRs3hA1Lqk11T1p9iLT++QMYs2hi\nRG7rxL/v6AQjYGhhSNuPfgu6AmLTucMoYTkzKpfPGd0IltGlTlQxyOJjefviUtIiIlNL02aONLIs\novY7y6zviDAH2CE+Z2m0OuRiCdDlZrc8WsUSm3nv2nLe14JiZsHlRKX+qIZYJl4xAlUNa7F7ZISd\nWzwrEwkwGEIu2JVrlLnBdbNSEQGiOHpdrk1BUWDav1gmbuZhtZHI5/NG8+NyCPcXw8xld8hERj12\nrPXyEuOVSoZyTZ1dhLZOXvLGfr6rf6uIFPpyUNd6s69ZJtXWd6hOzYJqWFF/J1PUx1xLZAmT7ZPI\nJg27h5owd3c2aHtg3112t7xrE8qo3/0XiNZ9/jTa+toOb8n1PA6P0fqKaHlfsvU4PiOx89LgwRo2\nZ5Qy/YF0Li0LykzylRWR8Or/Oz3LBZ0ZSW5UsXe7zW7Yuc2OxmWfv1hk8wWRUpZV3xbZJiIFhnY6\nl5GwRuC5P1Jv7IkJ6Cy0+0Myl0LUdkwjrPUe9JvfyXNhWL71FNbeX38R+8q77sW6/MnNDv1snbT7\nsV/lbOhLzp2nphBdv+8PoiKLuL+rEffq6ES7/p/nwK69t29IdjfgOXheoIA+bQ2ZUXab3bBCzfhl\nYfvnUvjuF8+k5c29aHuP6kaxEAU7ymVzyqKOHxlxD48e0T5BX7xhQ6t8/LVoM/eXjUHM89doafff\nzJ2Wj3wHa/JtezEm796Oz/51FnP76ccW5RMPYT+5UkB7R+YGhbIvFtl8zszFy1Vc4GrCxtAGs//V\nsrfUoi3Hz5xSja5GtYc+p8+wGn1lDA0WcIln4saOlGdZrFXXjowi6rUEVOB/17V4P9m9xSO/fx3s\necRz4UwT2nyyR+7s6NBnWJT/MgBW+H/6FZyDf/0BLQ5zDLbj3rtD5vlOzZ8SEZEzC9h3eutgcx6Z\neFm2hvE7ns/47M2aEeC0OWoW5q0FfA8gk7YY1AAt51dlchn51jD26bkFtP33P6dM9W7sS5+6xy03\n3459sLcZdurj16KvZ5P47Hx6YZmO5O0dB3BdzfQYj0+Y/dRexopnMZtmb7N576LmKN8beCZjZsSG\nQOeyMzhZVE157AWJbFIcqrVEvwV/1jIHOX/HlybNeYX+hbiWn+9Q0ep0Li2OdTzbWZbQggULFixY\nsGDBggULFixYsGDhKsFVK2sfTc5dVJSgwBZxXlBJPp/PS1yrJ/kdpRG5hRQ8dWRrtPkKzKOLrbo1\noToeFyrfKnL5mTyMpLsrlBSm93NDXecFr8PqSiFXofoQI92MtrGcdi6fE6+9tHQq9VuGFkfNZ3lN\nRhrp1WVkrs4VMJFBMoEOzyDHnt73meSMRDWCxwgvves3t+X1s/BUF5eMbNLxj2qOJ+dLNp+9IFMh\nm88ZjzafmWyffmWoVBpnev/JPkjnMkZzoLyKEBkqzhWqYVRDowfe7kOtu42n+nVdUKd/+DQiGR0h\n/ByJz4rDFtX2oC1fP4eoxS/dgbXUFaiTNj+iB4z89WqElPog8cyS6Qsye9jfnAN2m92MEcek0tq7\nUL5zKpc0nviYeuA5H6hJVVyykjoUSxqd4D3J1qkFxe0ciyMCzXlyoaoDq8X52LD8/DeW50dfaqzG\nNq2GzVN8bY4LI0Ueu7sqW5NlvdO5tNz3Scy72+/G+vr860rnRi1VIhlBbPG1LtMnKI+6RaBMAAAg\nAElEQVQEue1us5dwDbLyhV8jhy6HWx4ceUZERO7o2C8iIsmyKOylrBYpgn6lHS5n8hjYbDK5xGqa\nGDeWv6bGVSK7JHVq28vZLKyuNpuMGtYm1z2jsYxirhTNZF+cjw0bvSuO8XQS7XuNRgxFCv09rzZ6\nX2NO2+fX38MGvxQdlv1NrC6C5+P4zsXxmaArtIxtXD7f3Q63tGgp6vKqWGSWVMLFsqFrBSseuu1u\nE5WsVy0cw0RLU/vAJnPab+6idSQisr8ZrJlcPicNHtjjvz2CfvrZHfjOoxO4/vv/aUxGhrC/sjrL\nX/4NPnvyPjB7f/u6WVOJjNpB7L3vj2J+DGxzy/GXMFNvvRMMzwMbML4/1Y9n8DjcRecF1abQeco1\nN6tzwmFzGL24WZ0HA2Fclyyu/U2LsjG0v+TZn53G+eG6ZrR9cHHI9M/QAs5x3xrCXnz0JNbyvT/h\nlt0N0IvaEMA9P/Ui7NeuBvRNoz8l+zZiLX3pOZxT56OwH/dcjzY/GPaKy70+1WjXG/6yNb9aMIpP\n+zeZmDZnGovRs3q0+prNeqfNpb2aVrZbvSe8jHVaqZIgQdvcXYezHMfqWPSkqf66JbKl5DtkkuQk\nX3UcTYWoXPqCWQ0n5k5In1ZCZHv4/U0hvCf+zZtxjf7wpgueSTK5jGE38r2BemMbijIX/uUMqjue\nnFdmYBj787aWeW1DWD75HCr+vXsANmt3A9h/BZaTTc4rE/6sSua8Z+A6c49LAY5jJS2can3jdrhl\np0rBffoE9tWfuRd75vu2ok/y+bxc2wvGzd2d1DLFPsYsjn86/oS8PIcKiXd1Ys9gKXfueTlX3TJW\nzHdHnhARkfsH0Yg3bXxZBsJgVHFfLjChSt/pV3oXN5UhV9AFKkY1plml8z/XDd8D+TNVpaT6WmFZ\nQgsWLFiwYMGCBQsWLFiwYMGChasEVx2jh95o/0VGu/n9WhTibTZbVW0TegEZubhYFk8xOivkT14p\nMJVFaui/WCZuolvl/c2IZjqXMewoMi4YQWMfp7JpCbngMWc/z2r07auD+MwfHOgw7A5+z6H+zqhG\n+4ujTJ86Cm/7vd2Bkr/FM16jMdSo0VhWK6BnupJnl1VVasmnJSvq5NwJ7Ru3UWXfGtla8llTNcHu\nXBblcqnHm20/vXBGgspUKo/EUHeDv18Nrm+9RkRK2QSxNKKLdmUaXNes2gV1XYax4HIgkmITMHpu\nad+B74hN/v74GRER+aUdiIRy7Jcy6Ie85E3+7fG54yJS0DzYqBEcm81m2rQaNk05NtRtMJFdjjEZ\nUETxWLNqAqNfW8IYs7Wy69j23CXS0fn1H2bl+WdGL8m1X2lwXFjZYqVIGOfY187lxK2R8Df2s1+6\nSz5Lhl21Cl7FqOUzLrtTXPZS1hLz8u8/BxbP3V275cVZ7Dev71J9Mo1ossrdTDJqmCRcy5w3F8Pu\nLK5oVa7nZO6jfTsSH5NxZfT0KHuzSe057eC52Hn5yA+wlv/yNWBYsp94/enkpGylFozaKVcFxmG1\nqDIjf8UVDlktyqOMDbLl8pIT8kJYuemAsjA+/CNEIp12PN8HdzYZ7RYpuyfZxLW2s7iy36UA906y\nV1cDalDYbXZZymLPc9ow39i3s0lE+1v9rdKs+yFZNox8R9RmprIpeXoKDJc7e1Qfo2GviIh0KnPl\nmz2LMhfFvPjwT6Iv//5rGA+H6vG0+zvMXOPPkDKr3tUPe//RvVvkvz2HMXgeBEtp8+G6jOpmcxlT\npexoFOt8UxD3GlqEvY+mcP0bWrqNzffpvkWW4dYwWAl9wUKFtP/2LHSm7unFuFLHzyYis8pSPYlp\nLx/eg+c62hvV/uo365pnlffvOKfXQTtvbEnJhjqcO/40pvpXOdi4yTju+dBvdsq8jv/tn5aLArUt\nLrbyIW2Q4yKZh+XMg1rY7RZWRjXWLNmri+mY+fdq9hKeP7kHb430Lzs/EdQJsomI4wJMilo0Su02\nxzLbyrZv07P0aHzc/O1C2n55EUnoGdScmfUnWazxTFxG4njm/wDZRD51H9ZhVwDact84f0JOTIIR\nG9wBZiv3FHMmz+fkbAz29foW2EKTjaBjlZf8ms7s6wm7zS43tYHJ+PAvKQtZ34uZWWEXu7y+C327\nQ/udupsJZTK/rqtXnpjEO8/RKN6/toRxlmf1SLvNbmwR2f7bI+jTf9X3stMLOdkawfj9cBxVcQ82\ng4HLsVupetdaQdZyLXqnHONy/8B8ekEiNj1DrIP2ksXosWDBggULFixYsGDBggULFixYuErwqmf0\n0ItJLxqZIZW8vCvlkZZjvfLf6UVeTyYPcSmuKbK6fqqGz59+WkRE3rHxWhPRoyo9I+aPjCNCPRpP\nyB2dYIOU9zuZG09NvSSn5tGu+/oQOSMzh57TBk+kwCTSezF6cGIcU/0fjz8t79iEe5Xnh/M71LIR\nEfmxDfCFzmqVEEbwG70NVbWbGMlk+9K5jLRqdL0akyebyy6LuJczgjoDnWZeM/ef1zu9cNp8h9Ws\nqClhdHiKohOMpNjKKsAMaRWZgDNYXXujCmZU12pGZo0n/1sIYMrHrke/PTKB9o7ER+THuvtL2hLL\noP/5jF8/+4I8O4o2PFD/lIiI7GzoFZFCJDniCRfl0OKeSxoZqKUyEa8znZyVOmcpa2vZ/M/nDZOH\n3zuvVdQ4VpvD+ky5bJEtwv0vVieL7XEsq3ewHCtVpGA1JF7vyOxLIiKSzgalpVWjdhfV0isXtUT/\nWFWnyZOSd70Ja+dQSykTaDSOCnFk9dW56i6ZDhrn43dUw+NX/u4Z6dyAaM8Ht2Ou0wYalqLdYdpK\n5oCxrRexbRSqhtlkXFkw1Nhyat+emsei7/DXy97Ga0x7KmFocUI2N6PN3x3B9w42a7UsZdQEnMv7\ntrziZDaXNTaRNp8R1icmnxcRkZ31AyZSS+YTbSVZRBNLE9ITBGuLrCNWstrcgFVxSM1pV2CLjC2h\nD2jDulWfgTYnm8su20/Zh0pMEYfNIUvaHqdLzws6SMeVzdniazFtXI32CJ/3fBx2qku6Vs3qoa3L\n5DOmwtp3RxCFvakVY/+Px9H+Zt+03NvTXNLOnD4vNQW/dGZEjkyA2eV14W9h17MiItIXRMT2L95o\nl4940Jd7G7Cv3HYTmCtv24yI+UI6b/TZqOHHPZy6T6PxURkII/p9axs++y8ncZ0235MiIvKa9r2G\ngfX6LmitTSnDh4tlp86FaGpWelRrhPOM/cP9Ziw+Kr/7GOZMvR/z8+Ex/C2uWo3bI/MSUrbg6TmM\n6+YQ1mlQK/xNJ6bl1DxoSD11OD+ci01rO7A2npqsl0Ot6NfbNiizAIFtiaZw73zeLTvqyQB+SGpF\nPp83c5Y2cb0q+1Sr+nmxuFRn4otFPp8vYrk7lv1NBPbqldIVqnTmJ2OCtveFGbAigi6fbIkMVLwO\nvzO4MCgbtCKivUzPh6zoBk9E3I5SjbsCGxTzfjoxL3saWekSc492hGve5XDJmLJxWMWynAWxMdhX\ndW5MJqb0nrDljd6GC2pHOWx2+f4Yqgg+NQmb9U//gut86cNoV5MnJHd1Yi2/5Z04N3Yq4+zpKWjQ\neOw52aws9zoX2s52mirA2ZTsaYAOGBk847rvPDqBSn0Hm7etW+W69QB1dwrnJNg9r8NnbFF5Vc4W\nH56/0VMvd3aiD7mHs0pmMagz+u9nwQ4l0/NDu3DvRm+fGcfXtIOVS22+YZ1f3XWlGj7rAd6j/Aw+\nrvPWLjaj6cesCzKCeUYbj4+a67jcBX1aEZFhZXO2+1uXVaKrhle9o8dQnZTKxgHzOAolqUnJ46Gw\nuFz15WrfK4HistKXW4y5O4DN7NTCafHpYZoH8WZNQfnaEH7/ge2tVR1rs5qG8xtfcUl/PwzZA4Og\nMdJAvld13PxF5RopVEs2449vhcF5erxeHguiZPvtHdeV3ItGwef0mo2PxsfrwCGM1z8+d1w6AzzU\nwwi9NHtUP4Mxp/Dv8bkR4zQpp1dyfmQlJ9PqKKFRfHISxrw36NHrzZu5S6E8k8pgJwU6L8NxXGdn\nQ2Uhz3pPwzJ6rnEiaKpBfZGAdK1gytTQ4rw0e9H/W8IxvS42w4gbc2B8ySuPT8BAxzK4N0tYf2UI\nG2iTJy/7O6LaPtyDz0+nYSqXNjRftn0hhQM9nVYeh9eUWiY4DiyPnMgmxK6pkNVEjvOSl5xuTjTi\nTKWLZbDpsGx0vafeCGRXoyevFbw3XxiLnRfsizMLSHlr8xXEzKuJTXfpPP7L2zMSuhtvse33/3Bd\n2/xqAl/s39zXL1Gd091Kteam3aZpQAwwTCdmpOUCov1rBefqz+6AvZta6JZIAGNfTg9m+4qdm6Q7\nr3TtWsEDeFegy9yLKTm0SX1BzM82f2vVFxe+OP7ls83yy/vw8jqFrjTpF5znxXtoVB3tXP+c+4en\nXxSflubeUb9DHw4/mrw4KAVc/kLqmR6QCukISqmv6zLOkfKX2vt6sW/RsTW0OGScGCwzXo5KL7Js\ne76I8k/HeHl/sXBAJpc1fVarKKRIYd/nHrUWAfcJfal4duacBF3ob5YkpjMuqHY9kbXL0SicSiNx\n3LvVh8/e1o70rBtaRmVyCd/79qN4poUk1tMnb8RY2Wx2+eUbUG74cy9jH3vLZr7g4Rm+cW5G4hoc\n+MD20nRpFlFwOVxybVNa+wD7+9sHcFDe3cB0YKck0mhP1p7V50joT/zeqXuy2+42TiC+VHLf79TS\nuGF3vYwMo8/efPustodnTw0cJV3isuv68aIPJhOcV3797LQMLqI9R6J49kOtWNc7G7C3jC2dlHMx\nzFO/Ey/Zexvx7F8epIi4zzg2awELkTQVnZM96yzuXp72+X8Dqjm1aN9qfWm7FPjdZxDsefKEW4Iq\nGNxTjyDGb++DPa734My4KbTJfK+4+IRIQajebXcb21zuRCoXpy8G+8DnoJ2aN2n3vI67TCTabXeZ\nf1d7YU/nM+K2lQZ56JRioZZOP+x7Lc5Mu80um4J4H2n1wUa8eAPOCM/NwD68d8vGwnOVBVSZ9nmo\ntVf6gng/PRZ9WURENuh5LFJUVKRB1yKfk8GIpNrfWCZmSom/Usjlc+ZMSud3i77rjcUxT16cPSc3\n63sR914WSCgG38UmNA3uyAxkGXY1wEnkcXiMCPaL0xgHHmVu0KBc0FVnnPHl778dfszp1a44Plf5\nPm0vCs7PajGCBn1O3uTcIs5OE4m4HGym+Dj+eGYeaeHXNu8WEQStR/Ws5XFoAQldB1lNg4tnlmpK\nDxOxUrcsWLBgwYIFCxYsWLBgwYIFCxauGrzqGT0Eac3FHjp6mxlpDL7CHs+1oNxjvhpmTi6fK0QJ\nanBdMtWoIFqGL9nFtmpm0hYta9fsazK3LveC/vF1y6OgFMWkRzejLKDJiZikU/AWDw8jatB0D7yy\nYY9S2sVuoiZ8bjI5zsUQpYpsmJT+ENpG6iCjS6aviyjLT0+ROg/PaY9eL+gKL0sRcOm9t9dvL3mm\nek8hoj6XBvOMJbcZFXTbXYbJMxpHFLBPmTzbIojezSRnxK107HKa5qZQIXrgsoNVEnZVnu9eh2eZ\nGC3/X858WQ2mk4iC1rncslM97xvqwIhghJXRD5fdacop/+9TSPMj2+flOUSODmx0yuFp/C6TQ/vG\nlZ3HEpZuu6tQRl0ZFewbCoSmcykTDWfEh+wpRuQj7khBWLUMXBfJXMrMGUaZGMknW40ir26728wh\nik6TKVBtPdQKfs9d9H1Gig5Pgcq7rR5zZlTFP09mBmWnUmbLBejI3iqml1tAv5AJUR6N5f/r7IhK\nVSqzTtpysxfzsta0h/II6PkYIjtuB8b7b+4KS12NkZyVUMz4rBURdyHKSAZTObPMr8LLIgUbS2YE\n9+JHxkFd7wyFpDPQqu1BfxXYhQ7TTiKeht2kgDvXYX+4bxkVnE9HUXa7zW7W54La4S5lYRSvzUJq\nAewBx6NDS3mfmgfTZD61JBsCqy+IUB7Bz+QyVSPRtQh4rwS2vVfTjdbCMA4o+/Pmth1FZwTMRfbR\nh7ZrKp3DbUKrnzkJu95TV3o2O72wJI8dxbpq7cAe9c6tYKw0eNHOl6PHpCuAa3/0WvRNKoeoNunu\n/aGU9AXB9mFk82j0mP6t37S/Sdff7z+FyP3retDWqEZemx0umdL0jXmdF0zjdes8YxrKeHzcMEdH\ndF0uZVXYW1m1i5lFSSTS2h48+23t+P9OZZstZGImYru7AfPN7E1JXC+bs8uBJnz/c6fQp5uCvSIi\npsT767vaZF5Zhz8YR7/cfw73iqVwfphYmpKZ5HmpFT9S4dJ7eg7V/J1i1JL6TzbFeqWCXenIS/4V\nZexcCJ/+LM5Vt93VL2/agjPDm3oPiEhhXlayRQ+MIP2xwYP13KHn2c4iUezVpOdxzpABX8xS4d8q\nZWTwfFkNc6l5+eEYbMOWMOwKy70fUBbFat+tenQtfu0sGOj7unF+f2YU15/fuGBsQkJZoBSLD+k+\n+m9Do/KDs7BPH9wDG1gsRC2CfqfN43sR10+jp0m/s/SKzy+7zS6iZwHaU9retDKPvna6WfpDsMMD\n7s0Vr5PL58wZlylbw3H07ZYI+tHj8MiLsydFRORfv4lr/9l7YHf6gjeKyMr2ZzWs2GKU26ts2Xn5\nqcnn5ckp/O5UFH3we9fijDESB2t4b2Nvga0lpWLMhNfhlYUcswSQJr1BWeXduhfl8rma93OL0WPB\nggULFixYsGDBggULFixYsHCV4Kpxp1fy0NEr2HQZNXnWGxcjzlZrtISiX44ysWSyIFZzLYKloIs9\njuWlUIsFtF+ahbe9zgXPJlkGjKR95v3TEnYjQhVL42/b6+EppYbA/edm5IVxFVXsQ3T49o5duE4A\nc2BjqM9EscnqiKbA/BiLI8J3Q+seEx3eGkHEllon1FeIZ2JiFzwj+62cyXNMo4v/+1RWfmevltZW\n36qtgo+VHvl2P56PJRjJGGr0NsozWpa2L4goeKfmmnLMZpNRE3Wv5u0NOP3L5hUjBCaveg3lGl+K\n4n7X1IuMLyFCZNe+oWbIYxOIfgRcLjkWxbzb34To6ZwKTAZdYGxF3P0ScA1re4AO1dGhjkDIHTTM\nFt6DUZQHR8AaaPB4jYBmTJlUD46CqfWWvoPaTrvJv314FJFozrf+MNhSuXzOPFerRq7oiSezwC34\nWbx2CIoIkkXUuY6lYF+eQ353xIPINhkfAxHkAk8uTV2wlKTNZnvFo0JXGi5GLLRRS4kzz7zJ22Dm\nyUrgeh9R0T3mudOmFl+jWvS8eO0aHbCykrFr2Vt472KWJ9dfTNk2xdEpRifL73WgGbbylvbCZ/mc\nXDsUmB8IbTbhTbKIeF3aK5fLuawP+Jyjuj+0+9uM/baXFUmgRtxMMmqYmsuup41o8GBcm73NElGR\n3pUia2TBUCfFrxozJkrrWFn4k1hLkQT2Ya+ymmz51Qu+ki3jsjtlJgf2yOgS5iZFNzkvEpmEPD4J\nG//wWYznbe1qn9X+HGrtkTO7sCZub8cZoE3t+qPjh/FzwmnK8NZ7sHe3urDnHZ+DXsPGYKNE3Iie\nDy1A4+BzJ/Gdn9o8KCI4P9CuNwfQ32QfUOvg+6PPyMl5nG/2NKBv+0MUdcX8shfZRTJvx5bQF420\nucrqC7j88hdvwfkjmsKaCOrf2Pcn5k4bTYkDzao7ofvWU8oi/qsXAtKiZd7nltCO33kSbN1tjdgj\nX9PWYFilieyL+j2wIG7txn7TF9wq/SHasUflQritfdcFP3OxWGtE/dWKV0pkuVZs3IQ19tsH58Tn\nhI1lkYY9jcvnA89RXEstytygDV9LFkAl1KrlxHeJ0Tlli4RL2SJ1zoAMLWIN/s2jWOu/fRvO0nub\nsH6K7fCF2m632Y3O5Ts2QcD9xBwYJkejWPuDC3Ejmt7ixb29yrynkPTw4py8YRPafKj1gLl2MSrp\nY5FlxbLljZ6GK0KInPsxmbILqn13fE4zNVwNEnCuzL5KZlNmbzwaBXs27MZ1x+Loq69OHpX7T2LP\nePPrMRff2A2B8MvZD9zbucd0BdqkI4A96K9i2B/+4QTs+Tefx9qor8/Ih/ai+MANrftEZLk97PC3\ni8228vvBamzKlW19LFiwYMGCBQsWLFiwYMGCBQsWLNSMq4bRY2HtqFZymF7jWCZuPMe1opJXlWyB\nadVOofZEu6/VVKBgHiLvl8/Bo39t8045PIWIVcjtM+0SEfFrPv3dnRkZmgNLhEweevoXtGR6Jp81\nz8voMH/G0s+bthq9CSfZJoigzenfo6lFUwHm3CLy3/c07ix5Xubyv6k3bbyvLG1LhhRL5dW5AqZK\n15HZU/o7eL7JAElmk9LmC+m/8VyGjSVFOhYaOa6mwl/JE0xdiq+fQz7oGzd0G/2FWpHK4brPTIvs\nrGfFMVR/YsQnS70Lf7NMJxCFbdEKRiEX2l3vgU7Ck1Mn5dY29NdYXHUtdF4tqpaCw2YXV1lUnSWJ\n/VqFZ2u4x/R30I7rHWwu9ZZnc1lTgWtTCJGCVi1LX1w9wh9C9NZpK2V6zGj/MY/daXMsY1Cw3HqD\nstWyuWxNjBFG8qkfQW2jhRSiJY3eehkIazRDSvuJaPZWrsBWjis98lgJs2V9v9pnKNd2KR6T8nGu\nhnQFnRXOm+KKe+VzohI4hq0+VCephU1ZzvbI5rPLvrcelRfJOkjmUiWVvUQKtpZlprP5rEwnwCpg\nhcKvnkEkazqJ67y1r3uZ9gMjmFwvxePJZ3LmqGOCsZtMTFet5sLS5dlcVrJqJ6n9RpDRmMvnzPoq\nB/uYtjeXz9dUnZBsl/Oql/WksjJf075fRFZmjbFdw7Fhw251rIJ153cuL6W+Wh0uVqB6ee6s7Gy4\nRkQK+hGMvJ6PgWmyoa5brtUI+bYbsT//0wmwIH92ACwep80pt7apro1q4DR7Ee2cWAJTc3dDQh4c\nRb/d3Kql4VX7iboUzb4mw7ThXvWJa9GXZ3VPTmaT8g/HWQkRY97ihX2n1sffvzwvbX48Y4cf1z4a\nxR5it1FDgWxRjxmvA83Y77nOjbaGzSY7G1S7TSvDsFod9azGluKyJYxnpm7HmDLPPA6Mz739E/Lc\nDM4fb9mI7335DNbCwWafXnfWsB6odfWb1+Ksc3ga34ll4oZBUAsutnrPlcAssLA63HMz5vQXTjnl\nF6/BeYo2kucM6qJ57G7D8tvfBH0blo6O6Tm7zhVYF3YwtbIuhEQWNp4MvPLKcT6nVz60A+8En3sQ\nTO9nZ9C+yQRYhJtCWpbb0ySdZdpr8aI9REQkkUuafcul53zaZ+p4umxOU4X1715GH/7Xa9A/fGd4\n37aIdATAPlrL2Ytan3OpqGGtXwko19i5vgX28PsjY/L2/4V94G/eirepLXp2XdS5c2r+jHzyKa2i\nmIM9vmMjbKNd8M714FCrZNKwkz2hmH4ffbwWXbtsPrem8xFtPxk5fL8TEfngDqypT7+EKmyLC9gf\npidj8mgX7nVDa+Xr1mJDi7WMLoRX36neggULFixYsGDBggULFixYsGDBQkVcFkbPWnLLLbzyMCwU\n1/Ko4FrA8Wcu+z7N/bXZbIblsKgeakZhn50Bw2RyySV3dMD9SdVxRsc+ewIe+b6gyE0dVGVHLuyp\neTBKHHadexV0ZxjhjGUQwTizcMZEBk7Pw5PcFUD7+sOo5pHILpnnGF2CRzk7BUZQTxDR6wbVFtgY\nDC/TySA7g9He6cS0+DRKcl0zoqZk6zBi98LMkPz7Ga08koG3+Ff2DoqISJsPEYh0LnNBj3Y8s1So\nVKU/P3MSzKLJGKJ579ncJLLK9RpLazWSBa8MLYKt87RGFccTz2g78YwvzZ6Xv30Gbd53F/rkUy9i\n7Lc14OeL043y9n7Mg0Ot15jnExF5ZALtva4pY56B0Z/BRURzDjYjilBcoez5mRdEROTcIvr/7CIi\nUZtCHVKn85yV0MoxtjQhC+l5/QzaToYD2RwmKmArjB/ZYI3eUoaUo0a2COcOZy4rfAWLKj1V8+yT\n9ZapYV68WsF+Zp50LTo4xViJUcH+u5ANLGbzVGPt2Gw2mU2AzbiSbhyfp1olpvJrihT22GFlSfqd\n/prYJqsFGTVPT7wgbu23axqgtxMpm1/TyVn55nkwJX6sW7WtfPjOYobVuBLSYEdflPdXqzL9Urn0\nMl2haa06REZJV6DTMCrINGKf8DsOu0Psefy7o0wfi30dcYeqRvbY17Trqz3P9GmVlrAyEGsZX7Yl\n4qlfU8Sx3V8lZLgKsF9/OJ6Rejci0Q+MYDzJzLq3B3Z9MR2TvzkG239fL373zHk875+nsJduCi/K\n67pQ+ZKsNdr1+TTutauhT7wOXIfr+cjMaf0M9vi9jVlTvYRjTTbKBtWISOfS4nNirjls+MxCGpFk\nagYtJp0y0IbPsEoMx/hzp8G+6vBjjz/Uut2wSX/lEZxNPrQT180rW8xuc0hQGTRtOoeblLFEdtSL\ns3WyrxH2m2ce6pvE0ogAn1rwyLv60R7qAv3gBWVZJDF3zkwG5GDvgj4rrr09gv2GqHMF5MHR58SC\nhWr48E6wKr557ik5u4g1WOfCuuNZtc2JtVqpgli92jSyOtO5TEVtmdWiVhvLvYJngPIqRiIFna2P\n3Ysz5W9/XhlKHny2tx/7112bhuU9A1yv6AtqzXBviaUXTZVWtrGc4Soi0qXVYd89MIjPaht26p55\nsVXnaK/cDnfVzIxXErTdfJ/6gwN18pEM7PgXTsOWbY88LiKFKm9bIpvlYwfxGbcdfeqwgZH+8BjO\n6w89eE68XvTd4adgdxvejYqz/7lnf8m9RaAdJ1LIJjkXg45SLI02XN9yjQRUO497SVbfLzlmiWzS\njDHPjCudHckYfVc/9puQVhV+eqRR9jaMV/3ehcDzZTqXNu8fF8JlcfSs9kC0pIPCRVDLgeiVRDqX\nMRR/y5l1YZDOV+z8OKfUbx7cG/VgdG0THDZfOD0mDbpwnpgE/d/rYDlSTPYHBq84bucAACAASURB\nVCPy2j4soILBL73X0OKQbKjDIfPMApxA2yIQQ7xOqdhisxk6Zrd+9vlppI3RKTSbnJMe/duuBlAm\nl/Qwxg2ALxgLqUXjFGKaCecLD6oRd9gcAnkA/eppOLBG49iIfu/Pp0SG4TAR3YQHPnGtiIjc06OH\n6ODGZQJ27AumVHz7/GF5TTvKvJLu2FOHw+ZHdu4saftq8PdfwQHzffflpEfFP4cW4Vj5o6/jRfkf\n3wFD6XU4ZWIUB4jHJvBy+tI5HCTesRmf6QvOy3AcbW72ge45HMMheEbHvN3fLudjePlgitstbXtE\npGDoM7mMefZ/Po4N5+e2YX516AtBLB03KXwEN3fSlFt8zWb86bzp9Fcur5zP52UhhedzrdMGXP4i\nXQs49ovpmHH0XG2Od4oUXwpwnFfj7K72Qj6fWjBpGiuhIBhc+xpk2qFHbSvLwl8qHGzZa+65VCVV\ntN4dlt46COfm8nju/U2wtVsjsJVtvtaqQtJ0aC6mY8vE/SlkTkr9dHLW0Pc55zerU743WKC08/u0\n7+X3rAWkaU8nZise7qthpfLA1cA5EHGHjDOE56HikvD4uT4CqOX41nk4NJw2hzj03q0+jM25WOkL\nVSKTkM0h2M10Dp/d0Y49/UPbMWYPjByT56YHRUTkq6fx2Tf1w6731KFvgu462RzGSxJToKcT+M4n\n/wPzLBSOy+/dgX0hpSkV17cglYRnR5vNLu/bioAS++17WhL65DycOB+8pkNCbswV7hmc07e34wWW\nLxxj8RFx6eH6sadh3x9+FPf+47ejT25s3b7MycqCD0xPuLUtY+ZpXEXMmRbiV8eUy56T87Fx/R3a\n/pM3LulzhvQZRmVrGPvmkVl8NpGF/XjDhh16HZcMLfrlUsGIjFdJebRw5YPnGp/TIW2avjgcw5ny\nxDxeuu/sxFoYiQ3LYhpjvrsRAThTjGIdnDvV2saXdO7FfMm12WzGybGSc4m28TMv4Mw3PTUoIiLJ\nJNah14dr3HIoaIItP/FVOATu3o6X9Xu6sdZafa3L9meu3+KX/2gS3+vS1GXaoItNked+xbPplX6W\nY/ucNqf86Q14p3tqCu8GGwK9JZ9N5dLSosVv/tdJvBfurMf5/ZY2nANee2devvJveH/LLWIP+fk/\nxD0efBe+87HrfNKhQdsFfTcjNmiaq1v372Lb9eVBCNZ/axDffc92vLMdbNmzqmAL5+SWCJyov6pb\nQn5nXmy27pLPruZMzjY4VnH2sFK3LFiwYMGCBQsWLFiwYMGCBQsWrhJckVQZemVfLcKgqVxKXM5S\n2teV7mF9JVE+rovpRZlNwuN6Xcuekr+xP9/aJ3Ljn6Hc49c+AG8sS233BsGEeTD0gtyhIsw5pVGT\nMl2cNkPPO8vkEsXRCEYRjmqJSZbYJuOo+N8UDW2qa6z4fH6XX2ZT8OxHNSrRH95U8hmbIFIiIvK/\nTyPC0FuHyMDRSY2UJxMiSjWUCCKf7x5g1NOhz503jAA+w9AiIrIU5tzb2GXYHfzeqfnZkvZk8zk5\nq+lXtaK+Hl7xJk9K5pS5NJXQ1LTJmLYBffTy3LD8+I34fLNXBds2oz+/cErZSpGk3N3Vp9/D+ppY\nQjuvb7ZrO7NybA50znSujE6s4xt018m0ivNtbwBDo8EDATxGRPhTRGREaZ2PTCCSdW0TIkC9wZ6S\n8qEihXXOaBMTrNr9bUVliaszesqj8utt8zjOxWKcOW1jJVHX7CqFWq92hF3rx4Jy2101RTzXUtKd\n4vW9mqpzOfZOpiKxHHo5HDaHHGrdIiIQzi1GLYKvfIZEdqlqvzMS53f6jPBlPBer+NlUNmVE+Zkq\nXGB6wtZ5HJ6qqZvlCLj8ckqj3Rs0YltpfGmHy8fk5ejLIiLisrtlY6jvgvdjGuGZ+UERKTCDujU9\noFasVoz5f/4Q+8a+rQ55oQ57ictORir2I68D/fmlwVGZSSDyP5VEe39jF6L+R/R5RUQe0z3t4wew\nvuKaiuxUW+m0Oc04kDHCUs5/fA/2+yavUxw2jL9JzytLh7WLzTDDGE2v1+vMpjBvx5ZmZTGDqDBZ\nNrSbZBbPJsE4avW1yxOTYALNzKAfr9mNdh5qxRzPSd6cMWhrR+PYH87GtHiCLS9nF8FkfVMfUg3O\n6FyaTaIP7u70yFZlG59W9nGrjykkeIYf675RTs6heAPT0wfnsO8w5SaZTZj+XW+ksikZXwKTiOzn\n1US9q60NC5cXnK+3tO2RlLKf47omvnCSBSzw/xdnJ6S7Dr+rnQdZSJ/xOlfHNuXc8CqrjkzpqM6d\nVl/zsjNNQTgfZ8rRpTHpVPZ2awjPd+BGzNeDfbjerW1Ym63+HnlqEmlAySTs1Fv78Fky9aYSU+J2\ngN3DsyBZQOPKMGc6mUiB3bFe74Wv1vfLbD5nzpgHmsG+LLcXPodXfjSGDIqb25AJsSUMdiL78X/c\nnDLpqw8/CLvZ2Ai79/RzeNca2bEgiyq18LWzmAf7GvHz5va9JdcTKWQSsWc/vAefddgxB2aSszUX\nNVkJlcaOWRjrIWBeCZZ1tWDBggULFixYsGDBggULFixYuEpwRTJ6Xm3e/WI2AKNH9O7WuWorD3g1\no1z/gH3E6Kff6V/G5GH08ryWIfzDJ93ys/9JS7Eqq4L6GYwW94fCMhofLblOvYoqMurssjuN95/i\nveXty+Szclqja83qlS8v81jnKuR0MopYrRSzXWwm8txQxuQhjsy+JJ94DFHEXhUjfvtGsJO+/nKR\ncFcdvMsdO3tFROSzmsPqscNL/tObt8iM9p1TtQ16VS+HnvPBhSGZ1dxhjsVv7SktDZ/IJEoiErUg\nlSpoDJBRdWwW7b3nrtLPjsZFMnl4r795Dn3z4jB+9jShTX1BkXn1yFMYrc0HjzrnTl7yMhJHhOj2\ndtzrS4PwxL97M6Kz0eScKYlMYU5nGWsim8vKWdWJoibEngY8f3EEfEaZO4ziuLQdFMsMFJUzdl+A\nmZjKpkx0w7fKKNdawMi4p0pubzafk/wryOhZTbnIywWWyzytou4snVrO6KoFC5nYqqOZFwJ1Wzbq\nGmf/JbMpw/KZVztJYdj1jgbSVvOqnPczydllDLGJJWiqsCys0+4ytrG+jGVDVkUsHZfBBTBJivV2\nylGv2mhdGrkluE8kssllApq0/VwTtbJ5RCC+yfU+owxGPgNZyfl83pTSpfAw95+AsuzqnIGamA3U\n6Aq5VxaNvxBWGzWkhkVnKCV7GjHPvjuC8XhhHOydnxlAv75/W6vklB1AJunxeZQqf2FGGbAOm9zX\ny35HPzUo45b7USKbMP9me/tD0NH55vmnRUTk+tbdMqPi5hRC5j6RzWnRg9S8xNQ223V/5r7Gedfh\n7zD71dHZkyIicl0LxoosIGrZzaWiMhrH7z76TvTP9S263/zHjOmz9+4/ius0g9HW5sO8ONCMQhJu\nu0tG9Kzy2DiEkvc3Q6D1g9uxNiLukHmeqLIYtoYx5lMJzLcXZx+RLj/mw656MLt2N9j1OfEMw7Fh\nefdmfO+Tsr7I5nNGs8jsHauw4Veavb9SYQT6bc5Lwub41FGcd9/c65c2tSs+B95rbuqA/WrxYf3d\n2u427JwRFf8/p3o+m8OwzxF3eJm26pQK6Hc4cP3Vjj334qAom6iIZWsvoxaxj2hrM7m0afNNHWDn\n9W2BzSezJKXvCM/NHJUvnoRdu2//nD471jH32/OxMbO+eC+e4WhfxpbGDNvfZistxLEapHJpoyl3\nqZk81QpJrBccNrs4LsBq9jjc8sbuGyv+jWOey+fkT2+GPT+xG/P000+j3yfGYCt3NfTLRALnjZ/Y\nhL2TDO1KwtUcv/v6Su9dLs68EvL5vGHnVJvf6VzGrA0ySMtFufP5vDkTDMexxliEaC2wrKwFCxYs\nWLBgwYIFCxYsWLBgwcJVgiuS0fNqxqVUn68VxV5PeoAvd+Sk2NvOShMj6plkGeuROKIArb6mZToD\nUY2QRlP47gd2x+T6FuRVjun3jkURMexmqXK7Sx7SSk6TCXjruwKIVOxvQvTuT58Oys/thEd/byPy\n3+mBZbn275x/Uv78B2CO/PhesDzevw3/Z5Qxk88a7/eg6jt84xw8zFvCaMNdnYjQxTJxE0km6K09\nrxGRiLtefvcGRA+2RVAWnAyM1w1o9YOd3fI/3om2OnU8f/878EKfPYNoyWM3TEp7CJGLd25GW+uL\nyouLwDNsvNRSmcHhcrhXreXw5ffxGfPitMFjfmMbdIf+RCulPPIc2vnSiwuyqR+fCYbQb0OD6IvB\nEMauM+SW+3rxmUnV2GFUeEc91led02OqrkW0j39yE/qNLBu33W0YD9QVOTmPyC0jNA+OvCy7G8D+\n2hxGPnalNUOWAXO/5zXS6lfGV5u/xXz2QmsuncuYko6XGjZbgVVWrcKQXWwiNZZ8X0+whKndZhf3\nFRrhJWsvrVE/m7azlhKyzP0uZn5eLKipUNAmKe03l90piTTum9HPXqpoIHXHyNJhhSGRgi0jGBUb\nXYINbvEWqhNVKwcfdNXJE5Nn9d/UTsFaZ0TshZmXpEnz58vZl4yWufO5quVsm71NFX8vUrDVLF3P\n6oibw/0l6x3PV2ozbTabqRDGOcPIcVdZifcLgeuWEeNqDNKVsBbW3Pffh33MLjazR0bc2Fe/+wDs\ne9+/D4qIiMNpl6/8Ksao3Y/xmEiADXN7BzT1vj08Jnadi+NL0EPLxdFvZIc8MDIn2yJ43htawGwl\nQ2hc9/aPP3VSAm6M/4e2g0kwX8S8ERGzD4kU1gh1FsgiKo7uLmjp9kfHn9G2Yy+5rhlshvlUVA61\nYj8lC6xOmVnbO8C8/cbDMRnZhnnGKHE6hznJfSOZTcqJOfTdi1GM4z8cwT5/oAN73Ws7gzKfUmZz\nDM/lC6Ot27WSy3eGT8n5GNr8Zi1nz3UQVV3AZl9zVR2ti4XP6ZUu5+rmsYXV41KXzo6ntVT19KTc\nqqXSWeX22Bzm0fu/B1brf92TlCYv7N7ZBbDStkfAVI/qugu66sSZL61EbPQNa7A/1ZgOxSjezy6k\n4TadXJTvjUIj7AtPYJ+hPf2n+0ZL7nV4Oid/diPsCfd92nVWzd3beE3V5+Ca7wv2mvNlwuh5YhxZ\n0bW4mme165Xrjl1K2C+RRsx6gePscXjM/tmqe7BtP6ox//Xz2B+/eOY56VGdU+q7ta8yS6H4nk7b\nhd0lNpvNMFA5xhz7/ziHd45k1iHPTmAO/sIuzA9WfiZykpdTC9hjQ67S97e14Mo8VVuwYMGCBQsW\nLFiwYMGCBQsWLFhYNSxGz1UIeiDH4hPS5l+9B3M92yBSyK3d4kYUip70kEZncxVYJWT9XFMPz+f3\nRp81f2vVyACrVrRr9S233SUzSeS7Pz4JT+mJaFA/i0jkkRen5fPKcNl9Pe77J89D4f2WNnznd77s\nkdPf+yG+fwy5uT/2a8hTpg6E0+Yw0YJ5rd7xgW2Iaiwow4ie3GhqZtk4sErTiTk8w+Zwu2wIgEly\nXqtvebSyRtCFdu3f1yabgvBQN2kE+n/ehwjD6/8S9/z6558Tof7Ez6K//+hgqf7D+NKE0esojxYU\nV4Fi5LpWPDqBKP2h1mYJqDbVC7Po6/NnEaV8+z3wvmfSTXLmNH6XTmglEjfMUXMzvvu9l/yyI8KK\nHpgrLtUi+vsjGNfZJZd4nPhdbCM86DNJaHJwCu6o715WySihEc7xJURzBsIBo2VkGC8VghsejTiz\nkharWa2GLUGGWzVmzaVGtbaulfFxsdo6/O6ljlquBcZWKZOLbSWzoZZqXNSIod1aLcgI8iqDwGaz\nmflcjXVnt9kN+4w/1wP3n31EREQONA9Ik0Z8N2juOPuG1RBPL5xZNi/aVNeA0V2HzS5Ho6hitDSn\n2iRqY3n9oLtO7ui8TkQKDLyo9mlI94k9jTvNujI6WnrvuDKNHBUicrVE68jAibi14kpyqupnK2kb\nlEel16rHxbaupPtXTesnlkYfeB2einZtJZDxmsplTBv+9knsH3PHMR9YDTLj9cpHvoJx+8SPw3Z3\nBTCe1Bh4+GxWzscwVj+/FZ/Nqp7UkVkwaJ+baJRhZarsbgCrxqdMrfuP4NlOHZ+Svn6wV357N+zw\nOa14c3Ie9+6ra5K0VhHykFWrz+C2Lbc3expRjTGmFYe+cgbtbPVhn653BwyTh89zTOfv8XG0b3pq\nUu7sACNgIYXr8KxjGNZikyYvzg+TS/jd6/rAbvruENaIxzEtDhv6vj+EOUPmKMc57E7LTn2sBn0+\namaRxRNyh2qKRlt4deBSVPa9uY1MeJuZK585cVxERMYWsLbSOWo/tRtm2qQy3s4uojrtvT2oIOey\nuwo6OTpXK+3vkwmcGclsIaOE+lU9dd0XfM5cPmeY8Y2qyVnOlP7AP+fkzJPQCpM41oc04gxd/447\nRURkRjWE3rt17zL7yXMx2YC19j21WMrZTXy/OTl/SgK6pjurMDwX0osS1M9canbPq6WaV3E7nYI+\n8TnR10Onsf//ybM2ufVG7NlOfW/4hZ1gpW0MoYpyLVpEZE+vthoqKwVzbr9zE9ryjyeekeePYd20\nX19Zc/B4UYXKtZ4bi2FZ/6sYnYF2GY3j8LCkaUC1lHFdDzClxef0GeNdKHNaSl9s9bcYp8iYtvd8\nDIfpG1qRrtXi8xcEL5Va2hdEutcfHgbF7b3bgrI53CsiIm1+vAh0B3AYa/q5+0VEpK45Itua0J5k\nFgvvKw/DCHxZ35mWljLi2oh+uut2vLRQyJGG1mV3m+fZ1QBaN0v2suwtxd+mEhPLDMqPxnA4bPXh\nsNcV6DQlwFnekify17Tj+i9MT8rRKJ5rZ4NT74WN58brML4PJTLyoTfjIPoL20EHPDGHDe5r52L6\nDHl53xa0tVwclm222Wzid/hkNfizr6JvHtxjl3v7UZ6ywYNrdG7AmN3Ujo39Nffa5X+9BMfY9x8c\nFBGRgW0waA2N2NRSqYz0BSN6HWzKb9iAMf+rB/FCsKU/IAeV6t7hRxnfDt0wKRRI50wxtitVkvNu\nLjVvxvN07LR+z1NyvVg6JhMJ0OspDOrQjXw1hy++KKQuEZ3+QmBbKfDIF+N4ZtE4u1aDi00LfaUc\nPLWMGf9Wnlbk0IPfmYVB/N/mkA2afso5xRd8btRrPUQxPazS92kTF9W5zDLfecmbVKH1FFacSWGN\nn1k4ZxwxtFe0HTzgbAz2mUN+uQBwcZu2huFMT+p1vFXEwkUKB+dIBecVAwoE5zdRPIZ8GZ5cmhQR\nkbDuKZXSx2gjaSnp6Mnn88vGhOm2DAJcbmSriTqzmWuYg//9BQgL39Gek00hHEw/cB367Qef1w85\n9BCcyUh0Fn1weBrjGHBinx+JYW9/944J2Rhs1b9hrjDN6BtDcFbc3TMujV70+LSWNu/Sue1ywa4H\nAm7Z0olDONcBX5o2hyD42l23wZxFplSY81wWewedJiF3sFAOXR249W6047f2YV5k1cHodXrNvsg0\nxG8PY97Oz6MPDh7qMeL/ZxawX2yLoN9oC04vnJYvD6LLbmpD/+ysx8uH3XZKn9stAyZ9DYKxT04+\nLyIiz8/AoXVLW1iCGmxge45FkSLAoQ64/GZNWrh6sJ6l6R+fxFq4pS1hbNrru7AGDrVi/RyLwmbW\ne3qMPT+ktvHwFJxCR/UFtSPQYZwiJr1dnS/F+70paqG/4//pVJ9LzUvEs3LqSj6fN8GMcskMBgb6\n+hvlzGF93dU0HslivXz+NJxUb+tDmnGl/rzYPbR8n+D1ugMbJKZ7RjUsaFBDRCRcFli8mDlQHGh8\ntTh4KoFz8cQ87HB/P/aW6HxWOkOYs+9QMWbKOfzjcQj6/8QmlG132BzLzh3s2wX9Ti6fM/1fi9OH\n79wMzPA77xnYLz11T+JvZXbZOBR9rcZBxKCi6yKc9VbqlgULFixYsGDBggULFixYsGDBwlUCi9Fz\nlYOpRi2+lgt8cn3x0CgiT06bTXbUo9wtmQw+jYh5TGnquGFdhCgEp15UirI1esLG+0kPZ9AN7+r7\ntiF6Vkx9pPgxaeftmwqpU/sa9R/qxf7cT+M6YY3ive0L47JnHyKCP7MDbIdW3wa9nmjbvSZizhQn\ntotUQgod87oiBS/6viakaf3zSUQiT8w/KRmlxqbzZByRRYTvOOweSeYYhUCk8D0D6JPfvQ7P8NDD\nE/KBbaWl6iN6/4ATUdP5lKuqCDNZCOlc2pTDrBXvvAtRmefHRHY2oP96gxjHl3dizB88j58bIzHZ\n1qrpF2/A/Dg+iAj87i5EgA40LcrQIp7934bw3AFNY3M6MZdu656QH5xHlPTHuuf1s4jY3tUJxkGl\naEVBYJWlQ1vFp1F4MnkC6lGn6OlkYqKI0VVqOlnGk2K9tbASyq9xucD+4LyNKbOuzhU06+3/BuRM\nKdHV06EZkSNDMpfPLUvFq4WpVEmUsRyVonWMkpJCT4HetKbAzCaj0kKB4XUM1r1rE1KosvmssYXR\nJOxKPFP6LPHskng1/TRZJLgtUipizfm40pqpVvaVEdtYJr6M5cP+d6yQutZdlnZWCyiOWGxXOJcK\n4uyvDKOnmk25GCHwp4bQf0cnRH5tP9KKd2gp771vxN8OPwE76g245e2vQwTzxhbYwnMx2JndjdiH\nrveEDaOKrCum8v30FrB3Wn2bZD6NvbFXBfTJqvn5/UjL+kJdszx/Cvd4pAuso9d27i953ryInI1B\nyJtsAb8N7XtoFEzX/9yzX2Y0aj6sjOKdDYjuu/U7iznsY8XlrR3C4guI3H7Ljnt+YP+4JLIY/3Y/\n9mUyxfjd6cSCvF7rT+xqxH5NNtjWCNZPOpeTp6bQP52Bs/qzWfsNfRB0BY0YNFkRPXWd+iwFRuta\nTEAlxpqFVx55Kd1n1qMk9pFxrOPzUZ/80Q24Pt8dxpdwBn5mEnP42anj8lMDpeLpfk2bIbPG7/SZ\n/XBQRdTPqaD4Ta0Qdw+5Q8vaTmbdiXmk2AwtxuXNfZVLbRezWXh2OzEHZtHnTvIzmL/v3Tcne7vB\n4v7cN2B75qKwSzNazKOWwgq1oJgpzPMUzxjl6+nMwhnpDJQWoinHhrrqfy9nyq4Fr/Y1zveuQy0t\n+hP9P7Q4Y0SYmbbdU9crIiJjS5DreHICmQdOu91kj3Au8kxQiT1MlJ/5bDabTCyBOXpyHjb7+pY9\nJddLZ1NyW/t+vW/pfs17ky29XrAYPRYsWLBgwYIFCxYsWLBgwYIFC1cJLEbPqxTTiRnjPV+pBOFK\nUdJLiXYfombNvoLmQS5fWsacUS6HzW48o9S54U/qPhyNjkoiS50haLuQaeFVb77dZjde/ikVefsL\nLVl6162ITkzH3LIljH6jwCrZPyyf++br4rIxiCj1QBiRPfptmeff5m8zzzWtmg1nF0fN84iILGXh\nzb+u+RrzWXrPGUl+zwCiCE9OnpTOACJ5FHcm4+IuFSIdWjwrLjuiyfsabSX9xKj6ht56ObeI6GqT\nDxH9z5zE//tDiKqHXRkTCaCeCOcJo+BTiSlp8KzOq/wzW6BD8FnHGTkyi6jJmUVEOev9eKaJRdzn\n5Eyd3NIFnYfzUXxmPorx/f4L+P+2m3PisqPnz81pxGYIferzY+ynkx7piuBeg4uIyh6fRT/e0ZFd\n1kbD4rAzAlUQsCT7IKZssp4gS2ySheA1Ob7l+i6MiRzTHPU2X9uy0suvNNjm0TiiwacXEJ33OtAX\nG0N965Lv/0ojlf0/7L13mJxndTZ+T28723uRVm3VJUu2LOGCMbYxDh0cA04CARJ6SSHhI5CQTr70\n7/uSHwkQJ6RQQgkJGLCNsbExxrItybKsXnalXW2vs1N26u+P+5x3Z2d3dmd70XNfl6+1ZuZ93+d9\n+nPOfe4TnxSrPxWsvm9ju6vHX9tUxxSAGXUC7Da71Qn89olsDq33DDKT6tc1BetH+6iKqeaK92Yy\nGQyLponqc+T+pm6RRPhV7PbZ3ivYGOQ4K5O6WS/MC51D3Bhvg/E008kJfwthtcWSMdjtym6cWH9X\nRsneyyCT1/Om11wcuWTVV5Uvfzr1XORqWk3l+dX5VHUpZouOMNeOhkDdnK5fTHzttfQoP9l1FB4H\n50v15P/X/fzup3ewP9ptNrysmvOmimNfGm0FABzvJ+vGZgNqfKwn1bJ5oos6GY9e4Zz5pwcDODFI\nJkDQxfmqM8K1XL20dzV340c2/t4rGkGJFNtIGVXpTBoVou+m2nm61m2Q/mqz2Swdheqc3yi0n2Z7\n0HWe2Fwsoq5lrJPLo0Ctj+UpdomAt+xHOsJ8l5NDcbyleceEMj/cTt2+cyMcVy0lEYzEuRYe7SfT\nKCRpsO9pZNmH44P40Pc5T3z0JrIZbqhskXrjfRw2x5zm9VQmZUScVwiymQMXRqjhVCUpzmdamwrB\ne/ewf10M2XCkXzXI+F2Jm/36lQ1k2P3LS/X47hWyfEIiM5hIsZ8eqOaeYjDeYzHUO8LC4i5mXzoz\nTLZOra/c0uLRte7HnUfletFHSbjGdcdk7CmjSVOdvzR4EW1h7vViSdGJfI5ljo9xnbnnbS58fDfH\nxevXcZx85TzXiw9s4158qrV4LtD1ezgesnQY8+0Fa/x1KJbIhLlgPmyc1c7kUejcrGcqPQ83B9eP\nM6rkM90LvKLuBgDj83nb6OU5MeJUV/DSCHU9W0parL3O5mJGbeTOvbm6qEuB1b+rNzAwMDAwMDAw\nMDAwMDAwMDAAYBg9qxbF7uJpmTzLjRuq9gCYaM3U2MWp4g/zWZdV1+f6ys3jqQpzNDU040w6k7Ys\nuOpVvqmGnsbHOuiJjCVsGEmQ+aGMIvUmDMXpIXjbxk0YFe0MTROuVnpNHTyWjlv6GqeH+PdVDfTQ\nqbf9r18Q7SB/h8UAUq0Kve/RflqCmwJB7K0g86dLPJfP9dFzo2rt0VQELnuplGciW0W9Ot9+u9NK\n764e1fs2MK4/keZvvnYphMEx1R6a6GmIiofVZXdb7KVC8dtPUdNne5UNrAWkDwAAIABJREFUoQTL\nfKKHzzx9jmUpliwi9+/vxxefpif0vut53Y4qtu8r69iGT/W4EROdog1lvP5d23n9Z5/mffdVpHGk\nn7+/TnQVbJvpOS73TE5dqP1RvUSaRjeWiqFe2ki9wbkW/nJPueXJzvXu633VQ3AlfNWy7C9keuu5\nIpFOWu/z4mArACCSZB+6o37yWF2N6I+xT6cyKavu1Us3FbPRYpOI61L1bXReLfWUTGD1zBXjrK/J\nc1xuuQbGhqx04JU5jDqd25x257Rx+4uJ713h3PS6dRsmMSQKgdb5bDLOdUd78qae1fZNZSaz9xQ6\n1t0OD8pniH0fiYesdSDgJCOiwsu1Q8d6dIosKePr19y8pMps0bVoLnoR0WTM8nYvpEaQMnD3lG/O\nYmZx/tO57VWNBwGQuaJ6ZReEMfhcN+tvZynf7We9Y3h3C9fRfztHD/7djcw4lc7Q2/9Hz6fw+GG2\n7b+/k+vZSIJr58kh9iG/w4m+ENeHv/oxn/Gt+/hvLcPl0TasK+I6oH1PU827HKLhlLFb/SffuNKx\nG03FJtVtUDSb3tDC9fq68gpsLSV7QPt5v+jdFbnYrjvLgLTo5Gmm0TdvoG6DpmRPZVK4FLoi7873\neq6H9X2oigyhPz7sR08n//9T3+C9P/1Grn8Hq5kZ0mazTdKSmA7LnTnOYDKy98fKaF9IPsaxgfH5\nps7HcdIZ5Z7rsU72vRe7OGb9rhR2lvI77c9//EPOlW/dxL//+7lStF5gn29oItsnLBkbP/9DznUf\nfFUXnrjCcedx8m8iyT3hm7eQ7d0VdeIfTh0DANxYxf1JvV9ZfOyfW0oaMRTn2LuhguPjVz/AvaDu\n00YTYbSGOLdcCnH//9FdrMfcbI3zhe7Xyz2lVjbAfBk+y6fI8mgwN+Seh+02u8XaLpriu2w0B6dO\ncz4TLPay7IEcdgeCdvan6XQXlxqre2dvYGBgYGBgYGBgYGBgYGBgYGBh5VJCDKbFcmXsKRTZFlO1\nZj/dQ/2SveWigVLEGMbpYkXVQ1ntq5xkhVVPrc9Bj0FXpAv/eoYehgM19O63jpI5c6qdltdP3NIH\ngPoA7WF6HItd9AJsLKZXMeD0o1i0HE4N0TtW4yPbQ7Ud+mMDuBiips/ucnoTlVWjWT46BnnfukAV\nukUXRT2h6okuc3vk2c2WJ607Sq/5oeqtE953W+l2Kz670ls14Tv1Ao4mwxYTR8tcKpnMtM/82s66\nSV54zRajnlCfwztrj1FLJe/xjSdtaFxP708kTI/mQD+9qDV1rJMX+koxFiND4fvn6aE5tI5t9lAH\nP//us350d/GeH3oj6+uBk3yXaJj1+KePBdEjv3mug57Rm5vYL/aW5880o3WxMcisSedHzlvedO1X\nuchkMogK2yI3o5Kyp/aUk5WVzKSstl4OKANNWSDP9Z3AaILl+afjZEecPcl+1vIe9tfadD0e6zy1\n1EVdMCjzAhj32ltZxKZgneTq+Ngyk5k3C6F/MBXyefhK3MWWXkhuH1sJDM6mAD1kdf4aq540U4pm\nMVTm2HRZewrRUNL5MJlJ5H13ZWBkMpkJjKdsaHkaA/UzMhuG4kPWb7L7Uzam6xP6rGxmjtaPenpz\nkclkLKZgIUyeXMaFskbSSFs6Yzqfz0f/Ibt8ANAd7cThXq4zbaK99uEdnEt0zowmI/jaReo4lXnY\nHjfXkXFS5eX6Wu29gLYQ9Xfu27hjwrOcosn279/qQizK6//6KOs7keaa9+CDrQCA9//COBtV15IO\nWdN1fXXYnPjR1ecAAJ0Rtk1zEfvkwerdAIBwKmyxcMvyeNi1H3scnkmZ8lS3rdLD9tUsYQDQI2tx\nrv7HluINuBTie3RHOVep9/m46Nt57Gm8rJp7pCrRgti2k/1Ds5R98sBZnNvK/vAn32Z/eKiN+lz7\nK3nNSDw0K9adlsMwelYmdI5J59mnzAU/vcS5rqYkgbZi7gs2BDkW/qOXY/3WdezL20rSuBxmX//2\nBWVIsq9pVthMBhgeJHPnE6/hmHxY+mVFFde3zz1iQ/tlzhW79nK/WFzKcXK96Ez5nZfwbB+fNTg2\nJs/nHlLXSZvNhteu41yQe0bQNdTn8CIm8+T2Uv62Lktnc7GgunFrRQ9ntUH7yEKz1XOZtxuy5vyV\niGXbOebb6BpMhIbxKDTsaTE2/fOhjU8HPfCeHOKm80KIB/rbaklr3FW23TLo5G6IdPM+ODY0SdBM\ne065bMgrvOVIphkK9Z3zXDhScni7tYXPrPIGUSICcL1iUNGU7pqSNZlO4umeFwAAHtmcJyWsQzft\nfqcPm4JMY/pYZysAYFsJ3+G5Xi5wnR3898WREHpkM3eweieA8far9I4LaqsxqEsosx4Hy6di0Xab\nHX0xbuA3BblpjopYdWe0U+rEhqYARcn0YOEXiiumGGtKbR2Sje7XL3Exf8fmxhnDHHKxvojvuK2l\nFlVF3Hw+fIqb4rtvY53vruQ7vthXguPHWOaP/HKt1AHryynp5DOZDGrr2Wf+6zk5QMX4jLpGttnv\nHhrBJx/l/x9qJFX4ZB/rtKuRz5qOlqkLQEtJi9UHVQS7VQ4japB02V1Wu+m8pfOYLihqYKC489II\noWcfqLU9xymlHMs1vlKUeTi+b2jkWOi+ykPh7zzG/vHxmy7ilprNctdn51wWYPnndavuZ1EODVFR\ncdSAa+4pqfPhoqSN1TlHQ1+yN++56d7HBebZv6uzhIRVrH6pBP5eWb8fAMeN9rXeKGn2uSnUA85A\nXtFj7SfDiZAVClUpQsZqhNW1oMRdNslYovOetnNXtBsVEuo2XR/UtUjrONf4ooKO2VAjrop/NkoY\n2XR9PHsN1fpoF7H/Ol/NpGfX+CYa7qeCvpcacfRd9GCefY+FPKQPS+rxzsgoKrwSVtvBsdEqYtj/\ndobPC8edsIN9+uP72W8rxCmh9VDh8Vj/r3917t1RyroJFvUg1sp7v3ia637zBo6ZVIr3/ft/7cLr\nX891MJFgP9B5uETGVzwVR7WXa9tQnO2oKcp1b9Ed7UKpe/q1TsdZV7TbCt9WVEv4s9/JZ0dTMfTL\nWH2qm2vIBRFYvruRZfc4PKiSetkQ5HUaTu13sH23l5YinOT/nxvh/V7VcINcz/5V66/HySH+5sM/\nx/fpjfE9v9HKtfcN6xKo8RUuzj5VOEm2oDzA9Q2Yf3hCtuF1OdcMyzEia4DLNnGdB6ZOpbycWMjD\na3cnx7jfG8Rwgvd9rJN9/p07xJDp5RgvcZegIcDvjvSwz920Q9bOtAgRD8YQjXJ++r8/4rzu8fK7\nN+6TPWxxEh95gHP82dNcQ/x+/vvILu4N72g4gEPVmso9/5lnprrojfViawmNR7mJC6bCQu1j9Pym\nyRFmc79sEWq9zjoPqWFa5rmV4ARaiVhoA4/Wf65TaaVbMUzoloGBgYGBgYGBgYGBgYGBgcEawbKZ\nAZfbGr5akOsRtS+i7VA9qwvB6FFrdCIVx5F+pk591xbS7M+P0FPX4Ne0hk7L25kUL6V6VtVyOpIY\nRkWaXrch8ayqR3kkodbtcnzqev7mD5+jd+zwUXq1PnEDvadBVzEujzJU5UgfPaG31LJOSyRcK5KM\n4ocdtPq/q4UeK6XHazq9SDICt9DtK4Q8MCIiyPc0sey739IldQG88/+ybisqWRdPfIxhWRXe8fZ9\n9Cop7m/fRHHck4PnAAA/aH8GALC9tA67yrYAGBdNPtLHUJsrYdbTy2ubrLoPjbE8Dq+koRfvd7aV\nW5kfDeKlfHMz71PmKZ11usFX1m2Re7XhL3/GdqgSR2JojM95qp3vOxJz4hfvYz0dPsv6ryinZ9Pj\nZPnfeWsfvvkC79PXw3Zcv5H/fvdu9peOMBAOsZxHu+iJTKU11TE9pulMOq9lX1kIh3tPIJLku9f5\nhRIsY0095+dGzk/yYObOY8oC8Tt9c5rj1LM4lacz9x00hCCVTlkMhS5hdtnl3/X+eimPH8e62R+f\nvsS2br/COnS6+NtdZZvgmycTYKXM68qWyBeGNxUsFtQCpVmdClq/ytLTUMlshoMKQGuIkM6BLw6Q\nrbi9NDmePn2J6zvbG9oqoSd2aGgUGY4dEVL1K7NSjSvrxCNzpvbzU4Pn8cOr/Oy2Wq4LB6oY/qjt\nkEwnrfbUtOytkrL7apie6OZgJYqVHZXRVOyTQ6XyMXmmg84DyQznAZ17fQ5vQf1df1MrzI8eK7R2\nnOlSSCibdR9htmpdTCX2vpAeXr3/9tJ1+MIZln1wlPWn+5F3bmWd7CrfYbFZemP0Zus6khRW1vbS\nZrw4yL787q+TGfJ3b5KQYWHVlpR60SuhpqeOMbxj6xauz/UNLI/X68Rzz7M8f/uLvL7Gx1BcbaOg\nqwh7JMlBrZ/lqZZ1oSPC+c8GOwbG+uQ3rFudN7SPN8g8mkEGV8IszyYJ9VYWiI7XRDqBb7RyHj7V\nx2eNjrE9bq7hc8ZSY4hIIoDhOPcqV6QvXwhx/bmzodGaF0IJvs/lUTKENkjIsd/pw2ua9gIATg9z\nv+CWvq0MiOai9fMOI9bxqvOVhggWCt0/aT/X+62UBABaDvc05Vkpa9tiIDTC+bmtzYbvZ8iwvrmJ\n+9HzI3zv77ZyPr6t4TK+foZz/Xe//hJvIPuVvndsAwAc2jaGrqtc63q6uQ8dHmIffuUu7tM6I0m4\n3Oyr3SfYrwdKuS6uk5Bch80+p7TXuQi6ggXNsQAZk7q3agjUzfDr/EilU5MY4IVAWUDxNNukKTAu\nEH81wnnl5CDX2OsqOAflS99usLDQ9lxtDKqVMcsaGBgYGBgYGBgYGBgYGBgYGMwbq8ssdQ1iIazZ\nhWIh08F1i1XaZXfigKRaVw/TVNbnJvEGP95J4cRS8Xirbs7g2Ci+e+UEAOBHp1hOn8TznhMdmPYr\nHbDbxfuapMeosalEnknLvN3msDRXRhMUNr4wQi/bOtG2+drFM3joZyxrOsP45CMX+ayP3kTtnlK3\nB9dVUG+nd0wYF2I3VZE3/fu9K0/jwd8mE+W9X6b371j/WQDAqSFe+7p1ddhdTu/Gs71k/Zwc4r/3\nVXjlHWpxVZhPmg52czGt/b0xekj3fPhZwCveNvGa7djH33zzHSxPja9qPOWzJaDKZzWK92AsHZ+1\n1frLF+mRXxeI4Z5t9AY9co4ezU3lZCmUuOlZPFTlwpPdfIfnTvDZymI58QKZJ9/sGgCKJBXmu9h+\nRS56P394hV4hpyMDm2j7vHYjvR0RScnuc86cMtEjLKeGQBm+3UbP09kResr3VTBuXNPgdoRHUeFl\nmTfNkDF9Og9OPtFYAMhYf/l/37n8DGp89IwVSyrTRum/AzHWcbm3wvJgf/UivUCPHxeWziay18aS\nDrReJZvK6eI7NAs7avdm/vbxzpdwUbzJawVLOX8WApvMEda4m4KhqcwAHQ9t4sUPCcNhMN5vMT3z\n6UDFU/FJHsxcHYr5MpdUJyyXHbNJ0v9m44pouShjQ9kt64pqMRTluFOdMGWUqpe9NIuxomtIi+gt\ntIgucigeQmeY41/Ha275UumUxbrMJ7oLTNbiUMxXcFHHuwokz5fNoGyaIdHQKZ2C2ZOLTCZjtX+h\n0HTzndFuvGE9n/mJvVxLbOC8nM0C1vX9WD/XpDo/57sxa47qweVh1r9D0iq/5z84b4XDXIs7LvRa\nLAFEyYZ95vBEvcKfu8WNxgDv3cYtAHqivF5TJkeSUaQwkdWn+jKdkT75TRLlnokMlYwyWOSvjiWn\nzYlIinsC1Y06Lmv5hiDr4vzIVTx2nuPTLuP8ky8blrogM+hCqBV9Mb7XT7okZbpokQRdfKehsSGE\nhfXzzYss35s3hKVc3LuUuMsQTfF9NhWT5aN7Ji17KBm2GDWFQPWvstl7OoZ0pKtOlMMVKKgfnx85\nDwDoH+M731yzr+DyGCw+2o5yrHrqqrF+PcfOqX7OUycvsR+1XeR+o/NgIx7+PtsTw5wbkGD/+vLf\ncM+EdBoIyHlCWDro5vz82f/N/cz7P7YbQ4P8fflGjotDN3H/uaV4nMWyEChxF09IsjAd2sNXsFHW\njlzMRrvHYXdM0NMrFBWijan7xOxnKWs24GTdli1SsgiDtYWVtQs2MDAwMDAwMDAwMDAwMDAwMJgz\nDKPHwMJsdAtmgsaX1virC/Kqq9X6hsrtAMY9coobq67Dkf4jAIA37yGr4x8eYvcNhfisVDyJ1CC9\nDiihx/CuW+gtUy2Wal+19f9fPcfvaor4730V9IzW+uPo7eFnP5JsT794m2SRukzvxGDUjc+9go8K\nJ1iO/rH+Ce9yaogx881FJRZz5Cvv5P1+1ElvYka8DPX+OjRINpczQ0xD77LTm1fqlowmiTAqRddh\nSDJ0aBa2WKqVhRkeBIbEE1pOjYzySrI0Qgm+n9fphVMYPBdG6MlpKdkiz+S7qFdwNvjK43yX6tpa\nbK6jN2JDJevtSAfb41MHh6VuwvjxBXqFhwaZHevm6+g1fean4n30+wHJVlbtY3s80UYPydUrvM+2\nLQH81h28Pi6O28Ex3ueysAicdheKnJqNZWK6S/27IbgBd9Yz3vyHV+mpjSTJoLD0GTIZZFC45ks+\nTKUdohomPZIJTpkPAacTZR710LJcnzlMxpPbwbI8f6YdVTUcL73d7F/bN5KtcbGL7/fmPf1wO9h3\n/W62zY5y9ofrKnj/aNKPl4YWbg5YS1ioLByzSdeurL0GYdl5JHteY6AeU3NOsq+d3E/V8+6YIcX4\nbMuXTPGv1oze3W13TUoBXOIazzIIkPX4jq2cN+NpjtG/fek4AGBbCeeOLcWV2CLzk0IZCso68Dl9\niAizwUJOWznsDoutUOrO35762UxppvtjgxaLZjZrp2Zwmsscm42EZIIMi55EPBXP60HW/tAZ6UJH\nuHtWz2kbpSe+KxLBK+qod6NMMkuLT7zPdpsdz/QcAwD0xJQtyn5XJWtXJDmAp4+QmXLT9Wzzf/sa\n+0B6cEBeLgE0CSNTPus8Q10KBLUP+fHgab7vi0dZxnW/2sr71pBF7HQ4rbVO613X/+2lm6V8DosR\nqdD+qRm1dC0JJ0dR6eVnVyOch0PCZlANp/VFlXjNNq7vXVH2z62lZLkpa/rZ3kvojrEO37uNc4Lf\nyfXwkIykH7SfgUfm+EM1mhGS1wSk7R12B9b5yPDUnqzjXNlNqUzS0l8sBAOyt6h31Oad77qifPcG\ne0NB/VgzkoWTcSnr2tW7WZUoYr+srg5gLMn+c+IC5/WycrbvA+9j3/vk/4wg1SFjUdeSCsn410EG\nMVIpi+VTu4PjuOtyK79zcGw9e9qGz3+I+5SdZWTTKwt+Ic8iwOzYkzW+2klsWGXvRVIcRz6Hd9F0\nWsazTk6+v5XRUrQgV4rG1VrG8YEXAQDV3hpUie7gQvfP2WAue1HTSwwMDAwMDAwMDAwMDAwMDAzW\nCAyjx2BRUCeaOMhkUIjzRj2/uUyebD0Tr4NW9Ycu0uofi9EzWS1shtJSLy4+Sj0LezWz0vz+DYxp\n/ZOjzJRxsOYImosYe3yEkj9ovyxZvN5Cu2eN3wuXk16/kWF6+s4P0ut2+AS9FPfeHIHNRk/7k5fp\nVVxfRP2cDUFa/f/9DK3uN9f3464GMpXUAv/aJnq4NONGKpNCIqUZr2g1bg+TtVLsJhvG6/Ra7nKv\nePfVE3lDZbl84Z0UN/23r+I/K8QT2R3pRImb7I7jg/SC+52sH9VGqvJW5NWqyIfKaslQNpbCa5tZ\n9seu8rPNlfTgdgtDZ2dZET4nmbRq6tgeD/+E//aL9lJ4OIqDdzCLw3foJEZfD72UvT2838/fnMRf\nPMq2+egrWJelbr73hRH2j4DLhaDo20RTrFv1HCnsNrulwXFrDfUPTg+z46qmw4ZgMwYk49t8kG2J\nV0aVsnzaRaPi7DDHw2vXbbIypnzoEbb1sWfZVnYH+9JgRz/sAfanV95NL/XvHWDfe6aH+hE7y2px\nZz29y067Pov3+5NnWH+/vKsD20oWhu2xVtApXntlLFgex6wsWQDQG+2zYuun87Ll09SZCrkZHjQT\nSSaTwYjqsuRhCGXra+RiPt4onRPOj5xHpWQv0jk6Kt5Ot53vWOOrsp61pWTzlPex2+yo8XGuVg2X\nVzdwHrDZvHKfWlwZbZf/5xz2wgCzDQacnCu+dsGOX9rCMb61dGve8mu2spND1EGr9vLfqtmT7aV9\nrveE3K8ZAOASTaMR0RICgApvWd5n6XuqJo4ySUqn0QcqBMqi8Vr6YvV5fzua4DyprKQaX7XFLi0U\nW4qbAQDhxDkERV9IoVp8j3e1AgBurWlEkYv19Io6ttWw1NeYsLDu3+TD02dYhqeeo9ZLul+YuH2i\n8WG3AQP8zL2LLKINm1jXba2cgx/41ggGO4VBEGfddkS43n/pHNmZr26stPYi2sZ9om02JGtvU6DJ\n0hhS1k+v/GYkwWfp/FzqLre8+/UyFzQVNUyqM11Lzok2jWbSU2bprbXb0RfjuwZc/Ex1rFSfze9M\nwefgc3eWcezXaP8dPDXpmbnzjr5fKBGx5o5CoNng0shM0hDTsd5gaYUUxkprDpLVoRmE1nIGq1WJ\nTjJ0rgz0oygorLEijomeLo7R77axn3ZeHQBU00oZ9NEcNmUmY/2m6znOtRgT1pzsczs7hnH/Z3nv\nx/9Ix+LksTQb6DliJjbmVLgkGfbu/WI/Hv4A9a40k2NK+r2uW/1jg5bGnZXtcRbsmmQWA3I+rBzV\nyirOmZcNps5cOxtcHLkEABiOc90qdkURSnI91QzNSzmP6fto5sOp9B3zwRh6DBYFunGKpxNwYOaD\nhSVCq2kaZaOVyjIA/fKWAwCA16/jotB+gJunI/08YLxhfQu+eAe79PoiLjyfP8ON1vNnuehc6GvE\n5ip+Fx7lgSLUzfsNR7khfMcWN9ru5ET8z1/lAjgY5ebna78wfrDqjXKj9v69IiAZ5sD7dhsnhuNn\nWRafqwzDcZZjZxkn9RtFoHpYhC6P9p/A4528/gPbeShS+rkelnqjvaiXTauGTZwb5mTUEeG7fPUv\nNuCzD3ESOiepcH/Ww3L+wmbSx0tcQYzKhLW/goaYJkln3yUHW2Qysz6Q/MPPcdP3xTODlmHlUDXf\n78VBPueLx1n+ezZ3wefn/XVjoWm+HQ7Ww9bbm/HSizxIbNhCY9qOnTxMv/0tXMiDrjQeEsPQD1q5\n8b61ke87FGcbXlexGRGhrn/lIt/v3S0sq6Z7Ptx7AhdG2PfubOB9tpSwHrOFW1UcM5jm+8xH0HY0\nEcaXL7Av3reB5dhVxra/vpJ1MhwfwVCcoQs3b+T7/PgHbDsNTanfXIO7Xs5D0E4RkG4N6QGB79Ib\nG8Hg2MR0x4oRSXv6LycasKNmZM7vsxZRq0aINMe00qk1dEgP/0WuovGNxQKv/dmbS4DhmrqB1Y1t\nbihEIp2YUyrxQtEVHUGpp1zKUzHlb6bbBKnRYyg+Yh0sc69rC/EQ77K7UCYG6JAYLp7rEwH2Jo7R\n+zeHrQ3zuWHOtevlcJlNddYwnnp/g5SD7Zht4NGDvEcO2SMyR68r4v1+1s2Dy46yxgkb9onvF7fe\nU1P1TmUQyEVBtOyc/jCdsUn7iT3LMFkp7VYo9P7XVWyZ1LVVFNyOVgAMD1aRYSs8OMT6aylmP+mO\nhhAaEWNgPQ9J5+Xwh2IRlB4Zsd4zfopGjTMREUjtokMl5vPBVsm+84a37gAA7C7jwefbbXz237ww\nhj84wPKoYeyFAZa1L8Y6ueDtx4EqGgc9bv7mwStcJ5x2jq9XNdRJXZRb7XlqiOXaVU5DlLbdt1qf\nRo+EZd3bzD6jBjJt13JPmdUmKnbdE+NacLSfe5W3bmhCXOadiyGW56EOhqjdVss1yW135T1gNkly\niRODp5GcRXr16UJSpksvXEjfnW4u0nG3nGER1yxkv4axGAb7JxptTj1DZ9SLL4gTdnAAtnLOIZkB\n7jFzw2RRUgrEJoZDWpAxdvVEGw26AB441QwA+Kub2Ac0sUmhRhDte3Hp59P14Xz9NKZO0+tK0Rvj\nXulPj3A/9cFdvJ8mGrAn7JaTdS4JH+Yb9qVzmb5LJpMxxtMczLc+RmWvf6CK87vL5lzWuWm6BB4z\nwYRuGRgYGBgYGBgYGBgYGBgYGKwRGEaPwaLAsqxPITw7lUVdacsapnI1Il7AEhEitbut32uIxAsD\n9Nz+tINexQOV7fj47t0Axqmb/cIMOljFMJ4HL2fwjhbe5x++IAyHID0VN9SSObGuaB/+4mX0cHx0\nNz1xoYSmR20GMJ4GHgDOjvB+/ykhMOdO0wuw/yA9ao8/N4x776Pn/21/T4/03/8Kr6/w0OPqczjx\n/u28d5FQuVtDbfJMehMvjFy1PPglbj7L5+QQvqthPwB6cO9+D8v16WfpeS52Tww3stlsGIjxXXeW\n7Zzw3bH+dvm8ZtYUf/VsvG5d0kqfHErwfi9101NbHWS7BJwpnDvDenrPm/hdhZffHeumt3JD2RC6\nulgXLx6lF1fD9F6o5ucvr01iLEYvUGWAfWdzMct9QUS6Xxq8iBofn/HIi2TyvK6JbV8m3u3uaAIN\nAbbjOmE3Tf2O7M+5IrPTIdfbpGy39vAV3FZLr9DWUnoNTg2dBjBOFf7CSTfub6FX96mLwixyst68\nPrb9fXcH8CoJd/E5RdC6l9f8/AZ60RsCjRiIkQHgcggLRcII2vdTbM7vHEDZ7Jp8zUPnnNyQq1yx\nxuxQKfVMD1gMnIoJ95prGVR4HRhnEnWJePeopA1vlpCRSDJqhQxlXzdfaFjJvopt1vww3XupsHyN\nj8wy9WRqSJHD7rCu7whzjCtrsdLLef1K+Io1B2q66g9t3zfh2fFUHKMSYvmirAv1EtIUTvBzt8Nt\nUa6VpdcrgrWKSDKK/zjPsJ/Lo5wr9ldq+B7H7yvq98lzTlnhO6dl3G6QtLxarmJ3sCBavc71igoJ\n380NZc6GskHL5V2y20HnHA07VUZjja/KYlMVCq2/pAgAZ0MZbm8R6+JDAAAgAElEQVRu5vpzIXQR\nJ4f42UlhCnaMkhH0OJcC3LfZgc0b+V4XLrEfVO9gqETPMxTihscNjIkov4aJ9IqItJf/Dqyrx2fe\nJXNYmGUskbq+roJ9aXdZrRXeqOzgtlGO3QoP739mxIs7G3hdn6yLt9byGZuKybDU8d8WumzVw7kR\n7glaSngfZfo47RnsFpKVjn0Vbm4IsB/bbDaLhRcRdu2BSoYp768QEVxPqfWbIhffvcY3JPclk+m/\n207hbZtY97nsUp2Trq/cM6v06rNFZ4Rl0zlpLvNNKp0yTJ7lRFCY6levoOt5MtW69Lu0sEZln5wJ\njyKjY3GzhMlK6nR7Q6NckrFIPsWyH4uNSQjr+YvyRYkVMnZTvYZTcs63kmbAVtC6qb/RPpgogMGm\nYZouWct7ohy/zx61YePLeY548jmuBW/dzPtvDHJeLXIFrH36cmK6EG2DuaFLwpG/ep7r2B/dwL+r\neX4yjB4DAwMDAwMDAwMDAwMDAwODNQLD6DFYFDiyYmzVe9sZoZetqYjpQFUfZTgRwoik/t5WSq+W\neqanYgSpZ25/Bb0JD3roe/j25QyiKXoEb6jcC2Bc+NImbJN9lW34frsItCVo9desvH/2dXosbvlw\nB/74WX7W2cPf/PMb6GlQT0F3NIW/fpCeilJJT31gG639R35MT/4Tj9KL9trXb8ZTPfysvJzPfrKT\n1+6poFfwjeuvt1gCKvir3vPOCL0lxwYceEL0hO5tpvdhS0kLACCSUFFln1U/797KZzlsk73CTXnE\nGTeKRoLX4ZvEWpgJv/6EeDZH/NgiDJPTbaz/qGgIvf4gvaFbigP44L0sZ0eIz3GJHsL2SrITnrhY\nDoeDnuiWbfRgHtrKZzQX8X7P9Xnw8zfy/8dS7CtVXj7z26302NT5Rq30rnfvJhumPcx2VK9/e8SH\ndUWs75ODZEK1SN0qC6Ej3InvXWEffttG1pPLNrO1X5kVg9Ku6qX3Onw4UNUs5eF946mE1AXvd39L\nGOdH6IEPC0Ppw7/MMrcNst/dXteH0SSfUeunN/VUP+upp5ZjoymwzvJAnR6i2LTX6ZC/vPZQdZ3l\nEQOeyfs+1wpiyRgF0AuEsiguhqibtbF4IrtjIaH3rBZ9G2dOStbZpHGfDbQPl3lK0RHmvKQshcli\nsCPwybjzSzpYHS8q4ppBxprvVI/kBUlnqiKIt9bun3TvXG0il91lpTrfW75lwjP8Ilw/lhqz2Cwq\nrq1j88UBCi9/4mEPnj/M+ef1r+NYOrSDrI5/OUcv9oaiowCA6ysrrbTb5R6uD8qgmQ2r4VKoFXEp\nl6aRHxTxXn3P7PfXuUYFbqfrX8rG0XF9ZbTDSgBQKC6EOF+UucvypsXWtcJj96Dcw/ZsFjHXn1xm\nHyhys86/0+bB6bNc7yNhtnFQvP49FZIePjwKFIlejzB40MP6dzaRcfmOt1Sjb4zz5cV+PuMzog17\n+3ph7XgrLB2lvzlB77zfyXfYVCx90j6KL555AcC4VqCuJS8MsK3XBUSIOxHHpiBZOk0BzuOa5r5U\nWLavX3eT1SY6J2iKehUc9zg8aJc09xUevqfuLdpGyXIo85RmMcP4G02Troy0rSVuPNPDPc8tNfuR\nDe07o8mwtSdYaGQyGWsOmotWidZPCumCtBwNFglXOY8hkwFGOf/l6u5kZI/RdNNuXHlaMpnob+1s\n+3RCWH/hUWREoDnp537/1a9uBgD899dEY3B0xBJRf/+fc767542832cOcZ+2IbjBmlt0ztYzQe4Y\n4/+zn+t8Z/WvTMoa28rkufMfyfw8K1qW9cLqq28swc1/x/dT3chwkvPUVEK4KWstIpQ92Rq6ZOnY\nNU4jmL8QSKVTGBZWr8HcoP3iQz9kv91Rv3YSkxhGj4GBgYGBgYGBgYGBgYGBgcEagWH0rFLE0wnL\nUzWbFIJLBUs7IZ2wmDwnBhn7uDFHx+D88CXsLCM7R/Utzo2cAzDOqnDZnONZZMRzpNoHv70vLp87\nrNhe9bLlen5/1lWOSJzd/soX7gIANH3sKQBA5zO04l//rH3cU+Gnp/A/99Bbtr2U3voP/N5llG9m\nFpXz5+hGPPWiMGAkdv/972+R2oiixCWaRa6JDIGvn6Kl/9baQctra6VtdNFDqFoMu8uS+HEXn6Hp\n1a8KE+TsMJkbr2o8iLAwqKJCVdJsMYp0Jm3F7OeydlSzZy7euT21fO9Hrjrw7u1sxyfK+N6vbuC7\nfK+dntzBeAz3NNIj+luP8FnHJVOJMqPaLw/iz9/MdhwSz0+DeFE/9TA9Ja/cFcXbNtLD2xqiCMTv\n/JT95FUbyPQZjsct1sGv7WKbXQ2zvn7/WWb2sdm8qFnPtlF9DNX8UL2cYlcQt9dRfCEgDAXVFdGs\nQNlx29qXlWWhDINQnOWy2xxW9jPNhNMgWiR9Y9SKONp/DrfWkn1165tYL6r9ckF0KJx2L/7tNK//\nyF722+Eo6+kLJ9nOP3n+LD75Ok21zPI0uThW7m7g2Au6i6Zk0M0FUzERcqEeOtc8M1AUAvW6FdKv\n1bMznT8nd16x2WxWpkD1Js5lDM0WWtbZZlKaK5Qh2T82iJikU++W7IOaulwRdAYslo1CPax6TSQZ\nRrEwIapF1yssWiebizlWs/uQtuPlUY7bdcIOddjsVoMpm0nXR2Vz/vWJc/jYTmZN0fGbBu/335d5\nsdNlx+/9Cq8POOnpve/fOW5O/Jg6PO/76B65tg/1Po6Xl9dJhi8pp6bqDbqKEZV5JJdFGU1q1hYn\nqn3CPJX+1CdZXzRl/VQe4XzsGr4zv6v1V0/4vAJlaIJm/3o07/XZ2BCkfk6RM2DdN3fs6njoiAzg\njnrW8b+fJzOlpojveVZIA2fOp/C/XsM21rnolOj6fOYpoddW1wJRvnuginUT7mOd/NJ9LP9L7S78\nxsvYNspo3VvBtfLWWjKjemO9+N3D7Gs31fN+I3GOz3iK83ODPwCHjfe5Eua6ekNlSt6HLbq9lHXQ\nFe20mGf7K3dPqCftp6l0ysoapNkxd0o2xe4oWTz2tB1FkunoaoTzef8Y18ZoknXbNnoZz/aSCbSt\nlPN5lXdie+6r3IWnu8lGUmac18l11OfgelbkDMxbXyJfpqJUJjWvDELW/dKTZ9t8exSDRYCy5qLR\ncSaPMmVkz4UIx0hVzTpcEd0ehCRLZ0TGbbEwSWMx7HvN9QCAtx/id40B9uX/1pTsZRWA9kuZBx59\nmPo9LdXs52Wel/Dh7ZxvdW/y2z+j7tu/f4t7uCc+3WAxIZ22iX3R6rewYVTWlef7eP3VDskKJvpC\nB97IMfrd71xAaZlPqoX36xUdyOd7yZ7bV7nLWu91ndE5WrUYi92l6Ir0TvhusWCz2RB05ddzM5gZ\nYWFi/eXt/PdYSuZw2SMgvXp1egyjx8DAwMDAwMDAwMDAwMDAwGCNYNkYPbOx1ufzJqxlzPTOLpsT\nTsfKtS6qldtpd6JWWAqdETI+NBZdNWiK3X7LUqrvHRGv1qURWvhr/HUoc0/UndA+pCyKdDqNHslC\n8z+XaaU/3sNrbmqg9f1bD8bRsoPegkc6jgEA9uyntf14u2Q+kQweLAi9GJ/5nSMAgMA2Wv2LmmoR\nEu2UTB+t9qPD7MuBTfTubi6hB+GZq+XokswhfykMFdWKSGXYvhdG+rCvYjuAcSV99XFpfd1Wtx41\nPnqVv9VGL+D+cn63MVg5of4AwG2XrDji+e2UzB8PXrmCPWX0au4qJ5tDvX8a45zKzD4Lxls3sh0C\nrmE80cVy9EZZhk/+hFNNVwf/fi3twIfuojfofpEWeLqTTJpnT9N7cuOeAHpjrNs95WQLHO3nv3/t\nVlrfHXYbTgyyj7SxuvHLO8l0UW/xT7qL8eWTZPv87W2iCyU6FW2DLHOZL4GmAD3u6qFURk4srZnC\n/JOy4IxINrZgDnOBZZtYf8q80/aNpxNWveeOc+3rb9mwz8r40iMZgv6rlfVW4eX9LoTsGAjRZv//\nHSdT4df3szKKhbVzZ9MA2sO8T4NkJ6uQzC2ascntcMHlnF8mCa2z6fqOZqfRzHjFkgnJs4ieWzvG\nGYbA5Aw12ShEl6dfsvMog9DtcKPKxzFYhcp5lXU2UGbKkkHml6AzYLGJtP1ykUgnJs3rqmFzfoT0\njusqtllMN4XqjnmytBmUOaIaQQEnx6E9i9ViZcKTKTAqeiifO0WNmVM9Jbi4jnPFjrId/I28g8/B\nfvvpW0PYW8EMeMf6qenSdolzxdabWK63buK60xuz4S9+QrbJwTfzs3GvMeegrSWj2C66c7nQPljr\nr7HeYzzDGsemMqimwlLth1TjCBjPlnZ6iPoWm4q51ul6H0slLa96mZtj7ViE7VjJ6R2BIg8eucwx\nNpZk/7jQxnb47U9TW+91TXZ8+gnORT9+mOxeTwu99k8cZhkGBqJ430uc9578ONf0ZIYPaQuRTXR0\nIIn7uGSj1MP7VXu5lrSKFs6u8q04eZG6UHabMs44N91c08x3kXYYjg+jStrGltNmWgfZ/VXZZDrP\n+6Qua/211hyyIcjxo1p8inhqDM90kalX6+McvbtsIqPHbXehWJhBueuLjjm7ff7+XGWRlgtzVd95\nPmyebGSfA6w9oIxfw+hZfLzvU7cCAP7xT58CZO8Nh/QbYdbp50e++RPYm8nKT7dKBi3Za6Gfe5Sa\n67fj0gX27+RB9stPfo3z3cvvvwUAkIincPEc+/fAAJ+xYxfH5vef4nx6/twAfj/+CABg+17u0wf7\nuYbERjlGP38yhT84wOtzoxu0nzpsDisC4Ole/sbtkcxcJezTV7tlTx6JIV3CMfTFd7PM/93Ka//j\nGPdQn7rlBMo9/KxWMi/qszQLYrmndNGZPAq7zT4te9pgZlR4yyb8XUtYNkPPdJO3TvQdsvBpGuDF\nEphciZhpE5ednnMpkG1AKAQa9lLmLrHab3tpMwBMStu9uXiTZdR4z49Iyd9ZzUnrY7u4S3PaHNZG\nXg/eCreIOv+vwxfwJwf5jNEEDQJHT3Dj/c1vc3OYGEviwlkuRte/gbT/49/8Dm8kVG4Ak4ToIMJy\n4RM0tOy/7+U48gMaijAs6ctlsbvpbQcAAL/5B08DAFw1IYsC+pt/chMA4LGrzwMA9ooY86biZmuR\nsgTfZOLOpt+fGeaGq9HP726oIq1VN5JpZCwKZ1+M7+mT+379Eg8ug2MedEkqyfUJDW+i8aBaUhqn\nMil0h3sxG3z4QW4EPL5SdHWIUS/OzVpUnlffyDG8tdmJ2+u4qO/5HZbrV+7nd0XFfJdf2jaMdz/A\nejt4gO+7q5rvck8L+8UXzp7H65u44P6og/3in3/MftKyiQfIEm8C79tLI1d3lPf++b8TAWcxJF13\nQ4OVJrZChFT1IJZ90MmFijyjgPHRK1RfPcCWTXOI0w20I+PA0T7ShaMp1m9ABALf3cKD558da8Or\nW9jW64vYh3eUkjb9dA9p/Xc3HsSQtPHRvrMAgN98knXwvj0sVzwdxw+vDs/4HtOhEONgr4TtaIhT\nlaQgXkxYG77MwmyGtOxqPK3z11pr2lp2TAxYKb3LUCMirJPmSoHX6bVCrd7/eCsAYGcV++AHtzPs\nZap9QK7BL5KMTDIGetUwjXFqfm7f+/iPOZ6by1m+xtIoLkhYbbmH36mToLlIBBjL9uK/WmnUv7WW\n60M0yjk3leS7PNXDvxuDaZx8kfc5dyfnuQdOcW07fo5j+z/uyx9Sp+W1Z+yW8VPLUzGHFNWLBRUX\n9Tt91p6jxscxq2tyQMp9XcVmBOX//+TLPKw1NvHd3nSI81dLSRS/9sDE+fKeO7jufHgH63zdBx7H\nT/6C4VK3PsoxOxZiG134McOnkckA5SyHz8l18F/OMSzjG0+zHW67zoXtJSz/mKzvj17l4fQ1TXSs\n2GDDyQEabM928bq/u4t/HxTx/Xsa+Z6NgYZJfVbH+5iEdNlht0S+7ZbjhH/VIZBKJ625w+qDkoBC\nDaihxCj2VvFdy8RIpaFgakxLppM4McT3awiwni0jts55sI0bQeeIXAPPYkKf4ZV9XSHOg+XAWprn\n//HvuQdDJj0+n2t9a98Zi1mfv+d+hk9+4Q843uCSPidGywfe68Fr3sWEDr9zVO4jxqHvfYAOtZ2/\ndRyf/QjH7wOPcD4/foxnvnQf9zPw+eCUtO5enzgLD78oz2T/+OkLdejbzT1MgxhWpgqb1jHwjs3s\ny5+LDsgX7F/nVZR5YyXCoxzL10t4ZtAl4WLgHnNneUtBY2qqEO/FwmzPaAbXDowJ0MDAwMDAwMDA\nwMDAwMDAwGCNwJZZRDOg7/Y/XKxbGywzoo/93pSfmzZfuzBtfu1hqjY37b12Ycb4tQfT5tcezLx+\nbcGM8WsPps2vPeRrc8PoMTAwMDAwMDAwMDAwMDAwMFgjWFRGj4GBgYGBgYGBgYGBgYGBgYHB0sEw\negwMDAwMDAwMDAwMDAwMDAzWCIyhx8DAwMDAwMDAwMDAwMDAwGCNwBh6DAwMDAwMDAwMDAwMDAwM\nDNYInIt5c6PuvXZhFN2vPZg2v/ZgsrNcWzBj/NqDafNrD2Zev7Zgxvi1B9Pm1x5M1i0DAwMDAwMD\nAwMDAwMDAwODNY5FZfQoBn/4saV4zLJiOD4CAOgItwMAany1AIAiVxEAIJ6OAwDcdjc8DvcylHBh\nUHbn/ynod7Nt80Q6CQD4QfthAMBnH2S9nfrpGQCAo7wct79qMwDgTds6AQBv3XgjAODy6GUAwH0P\nDOD8qR7e0MmufdfPtQAA/vxWJpd7vq8DRS7aNz9/hG10+Ke8frRrgM8qCUJz0X3wHXUAYP37o7uq\nAQDveziEx797kh8O8bpb33YTAOC3bh4CAGwubgQAlHvKJrV5KpPmX3nvwfgwfulbvM8/vI6/3RBs\nBgDYbLZJ9eSyL+zQ1eR7GfCv3TZuA16sNl9ORJMxAEDraCsAYFvJ1gn1vJiIJKMAAJ/Daz1zuvpf\nDhTS5qupvVcKUukUAMBhd0z5fTqTRjydAAB4HZ68v9H+ku8+ub8Hpu9TSzXGtdxLNdZyEYqPAoA1\nHztlHp3veNP3OjdyHgDwuz9l211pHcIt+/isu5qGAQD7K7YAACq85db17eGrAIBwguXbVLxxQvkW\nA3Npc+1LSVmH3KtwL6Nrr2OZ59jlgJnXry2sxb3bQmO516SFxlzaXOfz6dYbradkhnuYJzqPAAA2\nFdcAACq8FShyBgBMX5fnhrlGJuRMvLVkK4DxNTieTljnm3zrciqdQutoGwDgWH8XAGBXWSUAoKWE\n62sGmQVdp1KZtHUQLGTfNRf0xvoB8GxQ5AoUfN1MbX7trXQGBgYGBgYGBgYGBgYGBgYGaxRLwui5\nFlDiLgYAhBP00j3fdw4AcKCK1srBsUEAQJ2/bhlKt7woxGKu3+wsZf2cO3OJH4RCAIDUWBy/c7AK\nAFDhJVOmfZTsqT98hvf/lbvT+GwPraDbdtLKnE7xu9EE7/Pk1UocO02P+QtPHgMA7HsFWT+tblpp\nBy/3AgO9AIBvPkxm0atuKwMAvPYLV1i+7z8NrKfXFWl6CJ/8IS3VT36HjI3v/Bm/Lq4MwoOJFmX1\nJtrEcl3hKYPXK6ywCJk9zcH1Ujfj9bbQTB6FempHk2EA4/15rcLn9AIANgbZhkvpzfE7fZM+S2To\neeiPse1rfdVLXi6DxcdMniC7zY5+8epU+TjfDY2RCRJw+XkPmwNjqTEA049TZZn6HOzrLrsLwPL2\nqeXuzzr2wskIACAt7LpST8m87qvvtbl4EwDgr15OL2P4ZV6r3j2OJvk7manVFemV79g/lHWyUjdo\nq5HJY0HpuUvYFXUPFEmxv3ns7kVlaxkYGBSG5V6Tlhuh+KjFJC92B/P+TveoUVkzD1XvAgB0Rhhh\nkclkrHOEw5Z/n7NR2Kqjwl5Ny7Njct+zw+exs2wbgPzrTDgZgdPmlDLzWQ2BBgDj7WmDbUHXqXAi\nbO3fAnb/vO6V70xc4eE5c6EZ/WalWWDUBxgOpBtwbchTQxwMGo6z1qGUOaAw+rn+RieIklIeTvoD\nNLQgncLfHGWdHmxgeNaecg6Wjm7+pr4ljvffxw37P36Dv1nfzIFz79/T0LNzbx06O3iQ8lfzO22j\nlm08WD1z6SrgYHk6nzkBAPjS2QqWY5DXwuUCerv5/0UyOfZwc+9opCHqPZ8nNfGhX+9FQIw2udAB\nPZIYhT/AA0E0ybqzLcFOVCecETGE9cZ6re/WurEHwIoJo3TLYRCy6FnhXU7vsodxGSwtNNzXKXOh\nGiFcsrGx2WxICX06HxLppDUHJ2yrN8xmoaEbWp8YfOYbvhMTg5uG2elYbQzU5y+DGhqy/t1Sws1v\nUNp+pR4+VstcpH3fZrNPauOpjK25baLtqg6B+ULbMy1OobQtvSD3NTCYCrn92cAgF9nGhoBzZsOF\n7lHdbteEzzeXbLL+Xw0900HnYzXUqHyFOrL2Ve6Z8R4ZZBCQtfKuhoMz/n4mpNKpGZ1wUxnBdJ3R\nc+tU63Y8JbItWfuvfOv7Yq2vq2PVNjAwMDAwMDAwMDAwMDAwMDCYEYbRs0hQD1+H0NpCCQnVWaGe\nuoXGHx2liPLv7ds2q+vUSvuaOyms9a/dZJqgvw/f+Q+GWm34CMW2vn+ZdTo8QPbDS4NFsNtopf5f\nv0BP3LFutsMLz/M+3R3DKKlgeFfkQisA4Eg7mTj3v/96AIDv3hvw+D/+gM9Vz0hnB/+KyDPiY+OF\n7mIbo5xhexs2kim0bTv//c9nR/EH10//3h67G4k4reHfPMd3v7NBLO4LzOzJZDKWoNrxgZcAAO/5\nF4azVdfRav21e68tj2Mmk1nWsake5Dp/7YTPjWfu2oN6unTcj7O9xjGTB85ld1q/sa0SFsZ8EE3G\nJrEvRuKc89XLmMqkUeEtm/Y+o4mw5Xmbqt5zobT1EncpAKDcUzrjNbnzjM1ms4QXr5X9wWJDGcJj\nqTgGhK0aFKFQ7xQsHa13ZVJq2KMyPhfK09o31gcAaPDnZ3xdS7CSUmRSBY03g8Jg5hGDmdA3RpmA\nYlewoPlNk0RoQoMSYbhkR2zMZp5UBs9coKxnAGgNUZR5fdE6AHPr+9FUDLY0r9NQ90LeZbpoFa0n\nZV/PhlE93XlEzwRpZApmJK/9HaCBgYGBgYGBgYGBgYGBgYHBNQLD6FkkqDXw6R6K96bFO5vOpFdN\nnPt88LFdFMaaLu5RU1w77U70RKmpo9bPYi9jH7/6KepTXB6twD89yu66tZQeunBC/r2NDJj/+ekI\nSkqpvXDPHnqK+kbpJWpcT0/rXbeW4IToPD97kuLJGKHY6YMP0TsbLPYAKWG0pERryCXeJmX0pFNA\nNJrzQvz3xQsU3n7v3bzH0x0VM6ZV9jjc+Mvb+f8f/j6vU++ienvHUnGcH6HI96Yg42Kn8k6qxbcz\nQg2hwTh1hZoCtHifGb6ArijFSD/zDY+8HvvkLx0ckmeOx91eC1huD1g+5s5yl8tg9lDP11w91LPx\ndE0ndD/V3LBWMVUqeo2pz04vrwyCjIodi0dO6zGUGEWdq6bg56oAZEeYjM8y92RRZ02ZWuWtmPB5\ndptdC3uChUYhLEyPw41ye5n8fmaWqop1qz7WQrdLU4D6fUaImQiJIGswy0O/lCgkrbSBwWyga8ml\nUKv1WZmI7Obq7y3n/u7UIA9CN9fuL2gcKMN4KM7zTevoZQDAzlImHPI6vWgPXwUAVMpap+vydPuU\nmc5GU8Fhs+PKKNfc/7lMZtJbmrnfqvCUy7PsBWtwziaV+XTIXpOC7sLntP4Y61T3LA6b3apvrZ92\n2WMkRRQ7lBjFzrIdBd3f7C4MDAwMDAwMDAwMDAwMDAwM1giMGXsGJNJJyxM0mxg7tertr6iS+1B5\nuzXUZqXNXstevOm0CtS6q5oK6UwaFWIB/lbrUQDAb+ymtk80SevsLbXFeO06TRdMr1v/GD2l3z5O\nD3osmkB8jNbOZ9p5v4tnGRP/9rt5zcPPJ3HbdSzHs3apfx+/G+6kZXj47Aig3j+1QEsmLM3GhXQG\nyLVAa+zkZcaMfu57e1kXlWNWakIHprZa2212PC1Zu9weepSP9Z+Wd6fAj9vuwrYS1st01m/NLKP9\nq8bHlPVqLb6uYhce73weAPC629gGJR7W4Vs37geweGncZ4Pl1s1ZCljxtgV4mw1WB+bC5FF240Jl\n+bnWMN08kb3O6lreF+Ncr143jaev8xfO5kll0lZb58umGUuNIZTgulXtq5x0PTD/zF+rDalMely3\nYA5jpV/arshVVJDH1qrfWdTzYmWoM8yRifDaWc/LNQZUv0zXX/Wir/V9h8HiQfffvbEhDImW57kR\nMjbetJ57cZ3/6vy1Frsnd98+FVJWP4X8nXt/vblmnxQ4Y7GQR4RhN9X5Tc8EmyQ9ujKWOiJkmgSc\n41mphsYYJVHrr56xfBdDZBbpGXl76faC3qepiGzaD+9gnWq9zZdRXQjCSUZE5Or5zLYdtKyXQmRH\n1Ul91Wdpdeq9de3w2nlebQ42F3xuuLZ2GAYGBgYGBgYGBgYGBgYGBgZrGMa9kAfxFK2L8/XseIV9\n4hHLX8AZWNNMnumQL07TbrNbsZz3biB7xSWZZ8qyLMu5mWb8omXx+7czc1TQFcC7vkwL+gtHqU9z\n6EZ6Uev8ZPbUNtTi//7TabmB3E/bo486QRiLAy5pd4mPhFs0IBLsFyguBiK06iIoluxImH89vO/g\nIDV2PvraFC6J1XpbydYp6wAA3rieDKBNQZZPLbjZnl+Hbfo41kwmY/UvtabnwmlzwCvMpNc00aJ8\nY/V10953KaFW6s5IFxoCazs7ifYD1Ya4lpCdPQBYXcwG1c/SvjrfGO+5MnmM53lu0LlR+2DAP7Mu\nkjJJEqJn4Hf6LJZkPngdHtTnybC0mvr7QoLr2OzfXddBl3hqlyJL03TaEgaFIdvrnLv3XW4dMbth\n8BgsMLSPH6jaa312F8kn1ljQNSSVTqIrRia/U+YzZfvo2aGLiK0AACAASURBVCeRSiCYs87YsjRf\nAcx4LpgK2VEBfmGJRJPRfD+fhGJXMQCgXPSHsseQ6soUgo3CEBocG5p0n64Iz2S6zk61T86dUxZ6\nXVDWjcvmtMrWJmym4TiZ2C0lGwBgxqyeudCy7qvczWeJ3SGWGrP2hPpMPQup5t9Yaqzgc4Mx9OTB\ngHS6Mk9pwYJOU6FRGqd/jNS9a2Vzp9S9k0MXcGPVHgDjk9F0m6fHrx4BAARF/Hh/5S4AFFXUSW1M\nBsOVMIWud5dvl8/H8LbbLgAAusKcGMq8FG7+7mlu7H/0nRezDDqxiQ93Zwl6avp0mQxdGzmQE+dE\nwHk0NB66VcrwstItFDse6iFVv6iI/eaZznL4nL0AAJ+DFL0qL0P6VHg1k8ng/Ajv/S+nWPZXN3fL\n+4lYWQF9p5ANi81mw5biJr7XCkxpqrLEpe6ZUxVPB+0vkWR0Xgdx7cvhZMQSVF1oav+1uNHUd3Zg\n9b27HhAG4uwbCyXmZ7C4yA2dmc24q/CWz+mZumFTQ4X2HRWuVAq6wfTQ9W8m49pCIFvAeyGgYqej\nCTqDSj2TRbvXKuZbh9oW8VR8wQxDuWPRwGChMVW/zw3DSaSTKBEBfzW8tIpTuF8O9DvLtk/a++sZ\naqFJA7NZ46b77WyFlQGgcor7lbhpTDo9dBYAsFmMQtlCx8Nxnrf0LLPQTtOpDEd+J/d7eqZ9aZDn\nzlKPB5uKmcgml5gwXai2flaIwy8oz3bN4gxybVgdDAwMDAwMDAwMDAwMDAwMDK4BGEZPDtRSWiqW\nxGxr3ly8POoxLMux2i4XFtpTlQ8Pd5wEAJwfKcKmYrKZlIo4HbXutjoKhD0mzJ5s66ctx/uiqW0d\nWalQb67m76u8ASkHPWiHf0omDRIJ/geMCyxramufWGAz6fHPlGopIs/WtemUNXpcPlpWt++kkGdv\nJe9TUsa/790ZQUspaZydYaZwbxttBTCe8vxC6CJe++esp73XkwW2bS9ZP7OhIo6l4lYtTcc6UWbK\ngDDN1OOoYmyl7uJlCzHUNp9NmumpoOVXwbS5wkp5aHdYdbqWKP06J/THBhBKhBb03krhtdvsVl2t\nhbpT75F3nn0rF+lMGiNxtkEwK9XmVL8Dxr1ZfTGGpqpQ4loID16N/aQQr522nTcrGcFaaC+DydA+\nPCxjOi6Co6W4dhg980UsRXb14NggGpwLE8q91pn1Gm5isLLhsjvhlJTrui5sK2WEwnR9dKHXRN2n\n9Y0xPLnGV7Wg958rNJpmp0Rt6Pkp4PJbkR2He08BAPZXtABYGhmE9UU8t2k7bJXgg3AiAo994rlL\n14CrUvaGQN281vu5sBrX9mxnYGBgYGBgYGBgYGBgYGBgcA3BMHpyoFbVpKb/RAZpsci1hZg2W615\ns2HnrBSPXSHlUG+AQ+yAc2Ehqc7KzzVlZmUdVgvuaHJcXwUgq0Ktp/njGL34yjl+t6uSAmfvamG6\n8N8e+iF/MtBrpVO3NHqUvTMyPH4rtZiXk/mCITJfUCSxoZEwUCJiaZepFXTgF8no+blX8trOCGNs\n6wMtsEtd1vmZCjBbmwcA/uzZUoTbTvC6Gj7jn06TlfTHByYLg2t64GLxBkRSfBcbAL9zZiaM1mWR\nXP+TrqNSLjIVmoNNliD2asd8vR86ZoKu8bjg1cQyyIV6QjTVdFjGWDwdtzzP80VM0oWfGT4HACjz\nlKFJGHirqe50fCYyZLwpu07nxKniymdz31yWU1ekx9LvUI+efjcmbIChsWEMxTn+NwbJ4AnImrRS\n1pmFwGyFJhc7XbneX8vVEe5Ac3D9hN8U8mxtI2VVLgW0DyUzqTXPZlgIqCjmfDVhdHzPVqTTYDIq\nlnC8rCZMxXxcCqFyg4WBpVU4B0HlhUAmk7H2M3Fhz/3dSUZU3FHHs9L2su2TrtM9nuoN5erfLQR0\nrXTL30sh6pb6nX7reXU+npNKlkC7TZFvDztdFILq9aat0/HSwaz4BgYGBgYGBgYGBgYGBgYGBmsE\na8Nlv4BQy2ZkjF7ur1w4hdvr6I3JVUefDVaTF1uZHNllVq9BobinkdmyNG36TAgnmKp8KM5sZ0EX\nbZBnhqlmfn3lnhm91Rlk8LYtbLcnush+eb7vRQDA+s1Ms94Wi41n3dL3s/R4MuOf+yWLTkgYDsJ0\ngZcePufWbUhGhRE0zDK/dJWMj4PVzKbywPO1AIDdd4Us761q4Wh6xbBk4UilMvA00uL7mbfE5J3J\n/sm2lIeTrKfjA8zQtatMPPrC4vE43DNa1rM1IdKgd3pzCdkWdX6WOZaMWQyC1Y61xHKYCqOJsMUy\nKCQjjVM8Rw5hiI17rcuy0tk/NuN9tC/bbHaLHaTeih7RjIlL7HdjoH5VzYEKzZaomm0Lhdy60H9X\nesst5kjud9qP/U4fgm5llcpcvaClWxmYzTqbyWTQFaG3r85PZuVCj/sx8Xb2RLl+fOlcCPdueAkA\nsK1kG4DF1eBTHYX57D/WCktzsbFYab/VC77cacVXE5ZCc2M1YzWuqwYrB9n9JyLni8fOk6n8RCvX\n0E/c+AL2VTAFuK6rw6LnuBQMVT1/1vl5Bu+Kdlls5h1lOyaUYylRiI5g7nfLkWV2bZ+ADAwMDAwM\nDAwMDAwMDAwMDK4hGPeOQL1lg3HqtHzpXAcAoCNUjF/cTLaDPSdrxlpgCqQz4xGDGrvfEaE6eL2w\nO+bynqpnUqi3QVko1b5qAMAr5a9rGnaKWlNDkikqlAghKpm0HjtN/ZzvHKYXtrqO9+nrLUM4IUyV\nAbIO4BAPaYp9AD4/qvYzJrX3NHWZUEZrdWkFmTNejxN9cnkyQrbPJw7R+7+n/HoAwP57yPSp8lVa\n7IfOCLWDaqVu/RLT+bsvu4zPJKn3sL+C94uJdorqRfVGuvD503xGzygt7re9nH+n013QekrJfbJj\ngZUJFMjR9Qm4/EAy7y1XPbQ9FiOueKlR5Arg8mg7gPGxEHCRkTYVE2U6RsBsmHtad5lMBgOi7aMa\nWw2iReWWDAS5GfNWA9KZNIaFYThXLZ7ZYrpMeaq74HaP6y+sxsxUiwGbzWbNa8rCmq+HUfcEkRTn\n4aEx9oVG0Zr6wPYhSyNtKbDcGTsN5g9l8ho+z9yg65uyHheaaWlgcC1jaykzV/3rPWT2PNH1AgCg\nJzp+dlHWd7GL7PH8mqnzRy4DcqNkFXXZnSti77Na9l2r/5QzT6jw8KcPM0QolWbDtfaRIra9LoLf\neIqHqGSah+n/dys7+lqg305lxGkMTE5hqUaCQqHmo0Jpap6cA46KIapwbO732c8YkJSA0VQUD7fT\nYLG9kRuqTaWcKM4NckN+5iU7nFUM40q65J6yoUeUkxuyUkH7m1gXTifrKSUi0dF0AskwDwCact0u\n10TFQGMdNDIZy4Co6VX1fXTDUuwqxq/uZ8hXT4zvUOlhyKCGJNgADEZ4ncPOd+8XUWYVcM0W4dOD\nSiw9NqHevHaPdSjKZ7RMZ9LoEoPfWsRqMfCEEqPwSPjjdAKL64oaAQCXRykMHpYN8Ww2wuFkZE5t\nbrPZrL4/KIfsIilPlY9jrT18FfUBGn9WuhishpH2xfpQ46tZ0mePxEPWXFvmKZ3x9ypWr8aIpRT4\nXWzo/GXPmo8VU23yav10DujaMReEEqNwSniTbmCDdq4dfgdDSNTgUu2rRFeEYVwpEeuum4dzZKmg\nZTZYegTd7EuZTGbVHBJWEtQhpSHsBgYGCw8VFb6n6WUAeB7olHOIQmU5FiMJghrEj/afBAAcqt4H\nYFx2YDg+gnPDlwAAu8oZNu2S/XFKrp3OabbQWOxEEPPFyiyVgYGBgYGBgYGBgYGBgYGBgcGssTrc\n2nNAOpNGVGhfKuaWEQZIdhjBiIQcfHo/6dh3fI7pgDMZiuTGYkH0dvE3f3YvmRuJND2H2XyemAg1\nejRUQbw1K8XSN1+a22wZEAMW06TUevdZeTmlnKcHTwMANhdvmpS6Tu/rkjq/PNqLD+yon/DZIx2k\n23ucbIeR9h7AKe/ikPJounVJr162Zys+ci+t1XfVM2Tj/d+id9nr47WXWwdRXkHv7aXztCSXCXtC\nw9b6hGk0NDaAq5ERAEAsRWuzhm69NMj+9r4vJfGldzPcZqeIiynbpk+EbU8OXYHXRebO44fpwX9n\nO9u14wqt2196twdbSjbxtaTf54ZlZTIZy2Ku1u9cdprdZsem4k1YDiiLazQRtphKGmqlrJa14A29\nMtputfH64LoJ3/XJ+DnSdw67yxnSp2yBqaD1o3/XFTfl/W2+uSDg9GNDcMNsXsGC9rXuaNeEz61U\n1JEeBEUoejnp9vruA2NDiAkLpiGHwaiMmtw2WQoUIqYNjL/H1QhZgLXT9I3ViqlClfS9db2dijae\nz5M3HYtiQMKyipx+i+2Ym9Z+IEa22gPnegEAX/1BFO96DZ/18xvIpFoNYd2ueaRe1vmlN9YPYHw+\nLhf26Vzn5dyQ0dneR5mtOg9puRw2x4pcK1ZimVYDdFwFlzBk0qBw6PywUsedwfTIjQIIxckMvxhq\nx8Hq66a8RpMTVHjKF4xFo8ydxzo5j3/6BzwH3r6X/atj2IdXNytrnRE3RRJKVggTeqGx3Of7mbCy\nS2dgYGBgYGBgYGBgYGBgYGBgUDBWJaMnlUnPaEGz2+yWHkoiQSugxu6rF/DxzuMICLujpYSaEg++\nl17cr1yk1sXpPhtu3CyxfxlePyJp5TTeGhiPV8zVlFkplr6ltq4Pxun9LHYXW9ZZ1UOaTmtEob/Z\nJOJbuWyebKhodKW3YjyGU9roxAAZIb+0hR7DZ+7YgSNPUo+ptpn6IcUl7A9n47RiD/aO4hW1vK7O\nT2//HftbAQAPfIvv9Z8fKYLTzjr93HEyX37/Gf67oeQsAMApOjqPPpvE3h30eP7lzaLv5OAzq7x8\nzmtuG4PPoQylcZFbACh100K9o9SG5iJasXtGeb+HHmK5YkNkoP3l87vwRy+jhX1j8dTsDJvNZ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52h56hq7//tspH/vZmVcr1mXZLpgVauQ+od5uEVFpu7b6MHxq6mX87jco0vr2m18FAPzmgT0A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PhLG841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\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muueCXOt0Jg27jWK3Uq67fC+ZSQEA/vbk8wCAN+0YAgAEPS1w2kt/1KR9CXIslSKaimE8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\n3dd3a+0PDNk5phi2ylj8peE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j3J6MwTsaBq0xuBihZBh+c16ZIuqMoKfFOtagqSDn2mRq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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f58dfa34b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot fake examples\n",
    "\n",
    "N = 36\n",
    "\n",
    "Z = np.random.randn(N, z_num)\n",
    "img_fake = generate_samples(netG, Z.reshape((N,z_num,1,1)), cuda=True)\\\n",
    "            .cpu().data.numpy()\n",
    "\n",
    "fig, ax = plt.subplots(nrows=4, ncols=N/4, figsize=(20,9), \n",
    "                       gridspec_kw={\"wspace\":0.05, \"hspace\":0.0})\n",
    "for i, a in enumerate(ax.flatten()):\n",
    "    img = img_fake[i][0]\n",
    "    a.imshow(frame_image(img,1), cmap=cm.GnBu)\n",
    "    _ = a.axis(\"off\")\n",
    "    \n",
    "fig.savefig('../figures/example_fake_cities.svg', \n",
    "            format='svg', dpi=1200, bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Validate generator\n",
    "\n",
    "Generate many synthetic cities, compare stats with those of real cities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from scipy.stats import wasserstein_distance\n",
    "\n",
    "def compute_effort_emd(source, target):\n",
    "    return wasserstein_distance(source, target)\n",
    "\n",
    "def compute_discrepancy(source, target):\n",
    "    dif = source - target\n",
    "    tot_disc = dif.sum()/float(target.sum())\n",
    "    return tot_disc\n",
    "\n",
    "colormap = {\"bldg\":\"black\", \"pop\":\"green\", \"lum\":\"orange\", \n",
    "            \"all\":\"blue\", \"bnds\":\"gray\"}\n",
    "\n",
    "def get_profiles(city_info):\n",
    "    prof = {}\n",
    "    for s in ['bldg', 'pop', 'lum', 'bnds']:\n",
    "        mu = city_info['profiles'][s][0][2:]\n",
    "        scale = mu.max() #v['sum area'][s]\n",
    "        p = mu / scale\n",
    "        p[np.isnan(p)] = 0\n",
    "        prof[s] = p\n",
    "    return prof\n",
    "\n",
    "def plot_profiles(city_info, a, title=None):\n",
    "    prof = get_profiles(city_info)\n",
    "    for s in ['bldg', 'pop', 'lum', 'bnds']:\n",
    "        a.plot(distance_km[2:], prof[s], lw=3, label=s, color=colormap[s])\n",
    "     # a.legend(loc=\"best\")\n",
    "    if title is not None:\n",
    "        a.set_title(title)\n",
    "        \n",
    "def compute_stats_profiles(city_info):\n",
    "    prof = get_profiles(city_info)\n",
    "    dis_bld = compute_discrepancy(prof['bldg'], prof['pop'])\n",
    "    dis_lum = compute_discrepancy(prof['lum'], prof['pop'])\n",
    "    emd_bld = compute_effort_emd(prof['bldg'], prof['pop'])\n",
    "    emd_lum = compute_effort_emd(prof['lum'], prof['pop'])\n",
    "    return dis_bld, dis_lum, emd_bld, emd_lum\n",
    "    \n",
    "    \n",
    "from scipy.stats import linregress\n",
    "\n",
    "def f_ols(y):\n",
    "    g, c, R, p, s = linregress(distance_km,y)\n",
    "    return g, c, R**2, p, s"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Load stats for real cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29850\n"
     ]
    }
   ],
   "source": [
    "# load pre-computed profile data\n",
    "import gzip \n",
    "import cPickle as pickle\n",
    "from shapely.geometry import shape\n",
    "from shapely.wkt import loads\n",
    "\n",
    "with gzip.open(dataroot + \"spatial-maps/stats_cities_over10kpop.pickle.gz\", \"r\") as f:\n",
    "    cities = pickle.load(f)\n",
    "print len(cities)  \n",
    "\n",
    "info_df = pd.DataFrame(np.array(\n",
    "                        [[v['city'] for k,v in cities.iteritems()],\n",
    "                         [v['country'] for k,v in cities.iteritems()],\n",
    "                         [int(float(v['population'])) for k,v in cities.iteritems()],\n",
    "                         [v['size'] for k,v in cities.iteritems()],\n",
    "                         [v['subregion'] for k,v in cities.iteritems()],\n",
    "                         [v['region'] for k,v in cities.iteritems()]]).T,\n",
    "                      columns=['city', \"country\", \"population\", 'scale-pop', 'subregion', 'region'])\n",
    "info_df['population'] = info_df['population'].astype(int)\n",
    "\n",
    "L = len(cities.values()[0]['profiles']['bldg'][0]) # length of profile in km\n",
    "distance_km = np.arange(L)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Compute stats for real cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29849 / 29850\n"
     ]
    }
   ],
   "source": [
    "discrepancy = []\n",
    "effort_emd = []\n",
    "for i, (cityname, cityinfo) in enumerate(cities.iteritems()):\n",
    "    clear_output(True)\n",
    "    print i, \"/\", len(cities)\n",
    "    dis_bld, dis_lum, emd_bld, emd_lum = \\\n",
    "        compute_stats_profiles(cityinfo)\n",
    "    \n",
    "    # compute normalized discrepancy\n",
    "    discrepancy.append([dis_bld, dis_lum])\n",
    "    effort_emd.append([emd_bld, emd_lum])\n",
    "       \n",
    "effort_emd = pd.DataFrame(np.array(effort_emd), \n",
    "                          columns=[\"bldg\", \"lum\"])\n",
    "effort_emd = pd.concat([info_df, effort_emd], axis=1)\n",
    "discrepancy = pd.DataFrame(np.array(discrepancy), \n",
    "                           columns=[\"bldg\", \"lum\"])\n",
    "discrepancy = pd.concat([info_df, discrepancy], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# extract profile data\n",
    "\n",
    "Xbld = np.vstack([v['profiles']['bldg'][0] for k,v in cities_sel.iteritems()])\n",
    "Xpop = np.vstack([v['profiles']['pop'][0] for k,v in cities_sel.iteritems()])\n",
    "Xlum = np.vstack([v['profiles']['lum'][0] for k,v in cities_sel.iteritems()])\n",
    "Xbnd = np.vstack([v['profiles']['bnds'][0] for k,v in cities_sel.iteritems()])\n",
    "Xpop[np.isnan(Xpop)] = 0; Xlum[np.isnan(Xlum)] = 0; Xbld[np.isnan(Xbld)] = 0\n",
    "\n",
    "# normalize profiles by the scale\n",
    "\n",
    "Xpop_hat = Xpop / Xpop.max(1)[:,None]\n",
    "Xlum_hat = Xlum / Xlum.max(1)[:,None]\n",
    "Xbld_hat = Xbld / Xbld.max(1)[:,None]\n",
    "Xall_hat = np.hstack([Xbld_hat, Xpop_hat, Xlum_hat])\n",
    "Xpop_hat[np.isnan(Xpop_hat)] = 0; Xlum[np.isnan(Xlum)] = 0; Xbld[np.isnan(Xbld)] = 0\n",
    "\n",
    "# convert to logarithmic space\n",
    "\n",
    "Xpop_hat_log = np.log10(Xpop_hat)\n",
    "Xlum_hat_log = np.log10(Xlum_hat)\n",
    "Xbld_hat_log = np.log10(Xbld_hat)\n",
    "Xpop_hat_log[np.isnan(Xpop_hat_log)] = 0; \n",
    "Xlum_hat_log[np.isnan(Xlum_hat_log)] = 0; \n",
    "Xbld_hat_log[np.isnan(Xbld_hat_log)] = 0\n",
    "Xpop_hat_log[np.isneginf(Xpop_hat_log) | np.isinf(Xpop_hat_log)] = 0\n",
    "Xlum_hat_log[np.isneginf(Xlum_hat_log) | np.isinf(Xlum_hat_log)] = 0\n",
    "Xbld_hat_log[np.isneginf(Xbld_hat_log) | np.isinf(Xbld_hat_log)] = 0\n",
    "Xall_hat_log = np.hstack([Xbld_hat_log, Xpop_hat_log, Xlum_hat_log])\n",
    "# population\n",
    "\n",
    "grad_pop = map(f_ols, Xpop_hat_log)\n",
    "grad_pop = pd.DataFrame(grad_pop, \n",
    "                        columns=[\"slope\", \"intercept\", \"rvalue\", \"pvalue\", \"stderr\"])\n",
    "grad_pop = pd.concat([info_df, grad_pop], axis=1)\n",
    "grad_pop['slope'][grad_pop['pvalue']>0.05] = 0\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Generate many synthetic cities, compute stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append(\"/home/nbserver/urbanization-patterns/cityanalysis\")\n",
    "from cityanalysis import City\n",
    "from cityanalysis import fractal_dimension\n",
    "\n",
    "def compute_profiles(img0, mask, bnds, sample_name, step=1.0):\n",
    "    img = img0.copy()\n",
    "    city = City(img, mask=mask, bounds=bnds, name=sample_name, \n",
    "                sources=[\"bldg\", \"pop\", \"lum\"])\n",
    "    try:\n",
    "        city.analyze(step=step)\n",
    "        city.analyze(step=step, within_bounds=True)\n",
    "    except:\n",
    "        return None\n",
    "    stats = {\"profiles\":{k:(np.nan_to_num(v[0]), np.nan_to_num(v[1]))\\\n",
    "                         for k,v in city.profiles.iteritems()}, \n",
    "             \"profiles bnds\":{k:(np.nan_to_num(v[0]), np.nan_to_num(v[1]))\\\n",
    "                         for k,v in city.profiles_bnds.iteritems()}, \n",
    "             \"frac dim\":city.fractal_dim, \n",
    "             \"frac dim bnds\":city.fractal_dim_bnds, \n",
    "             \"avg area\":city.avg_areas, \n",
    "             \"sum area\":city.sum_areas, \n",
    "             \"avg area bnds\":city.avg_areas_bnds, \n",
    "             \"sum area bnds\":city.sum_areas_bnds, \n",
    "             \"area dis\":city.areas_distr,\n",
    "             \"area dis bnds\":city.areas_distr_bnds,\n",
    "            }\n",
    "    return stats\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "N = len(cities)\n",
    "n = 100\n",
    "\n",
    "# cities_fake = []\n",
    "# discrepancy_fake = []\n",
    "# effort_emd_fake = []\n",
    "mask = np.ones((width, width))\n",
    "bnds = np.ones((width, width))\n",
    "for b in np.arange(43, N/n):\n",
    "    clear_output(wait=True)\n",
    "    print b, \"/\", N/n\n",
    "    # generate fake cities batch\n",
    "    Z = np.random.randn(n, z_num)\n",
    "    x_fake = generate_samples(netG, Z.reshape((n,z_num,1,1)), cuda=True)\n",
    "    img_fake = x_fake.data.cpu().numpy().transpose((0,2,3,1))\n",
    "    # compute stats\n",
    "    for i in range(n):\n",
    "        img = img_fake[i]\n",
    "        # exponentiate (to reverse log), normalize to (0,1)\n",
    "        for c in [1,2]:\n",
    "            img[...,c] = np.power(10,img[...,c])\n",
    "        img = basic_preprocess(img, width, normalize=True)\n",
    "        s = compute_profiles(img, mask, bnds, \"\", step=0.67)\n",
    "        cities_fake += [s]\n",
    "        dis_bld, dis_lum, emd_bld, emd_lum = \\\n",
    "            compute_stats_profiles(s)\n",
    "        discrepancy_fake.append([dis_bld, dis_lum])\n",
    "        effort_emd_fake.append([emd_bld, emd_lum])\n",
    "       \n",
    "    \n",
    "effort_emd_fake = pd.DataFrame(np.array(effort_emd_fake), \n",
    "                          columns=[\"bldg\", \"lum\"])\n",
    "discrepancy_fake = pd.DataFrame(np.array(discrepancy_fake), \n",
    "                           columns=[\"bldg\", \"lum\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "s['profiles']['bldg'][0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "discrepancy_fake.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.scatter(discrepancy_fake.lum, \n",
    "            discrepancy.sample(len(effort_emd_fake)).lum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = sns.jointplot(effort_emd_fake.bldg, effort_emd.bldg, \n",
    "                  kind=\"hex\", color=\"black\", size=5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "effort_emd_fake.lum.plot(kind=\"kde\")\n",
    "effort_emd.lum.plot(kind=\"kde\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def ecdf(arr):\n",
    "    hist, bins = np.histogram(arr,bins=100)\n",
    "    hist = hist / float(len(arr))\n",
    "    return bins[:-1], np.cumsum(hist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "len(bins_bldg_fake), len(ecdf_bldg_fake)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bins_bldg_fake, ecdf_bldg_fake = ecdf(effort_emd_fake.lum)\n",
    "bins_bldg_real, ecdf_bldg_real = ecdf(effort_emd.lum)\n",
    "plt.plot(bins_bldg_real, ecdf_bldg_real, label=\"bldg:real\")\n",
    "plt.plot(bins_bldg_fake, ecdf_bldg_fake, label=\"bldg:fake\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Xbld = np.vstack([v['profiles']['bldg'][0] for k,v in cities.iteritems()])\n",
    "Xpop = np.vstack([v['profiles']['pop'][0] for k,v in cities.iteritems()])\n",
    "Xlum = np.vstack([v['profiles']['lum'][0] for k,v in cities.iteritems()])\n",
    "Xbnd = np.vstack([v['profiles']['bnds'][0] for k,v in cities.iteritems()])\n",
    "Xpop[np.isnan(Xpop)] = 0; Xlum[np.isnan(Xlum)] = 0; Xbld[np.isnan(Xbld)] = 0\n",
    "\n",
    "# normalize profiles by the scale\n",
    "\n",
    "Xpop_hat = Xpop / Xpop.max(1)[:,None]\n",
    "Xlum_hat = Xlum / Xlum.max(1)[:,None]\n",
    "Xbld_hat = Xbld / Xbld.max(1)[:,None]\n",
    "Xall_hat = np.hstack([Xbld_hat, Xpop_hat, Xlum_hat])\n",
    "Xpop_hat[np.isnan(Xpop_hat)] = 0; Xlum_hat[np.isnan(Xlum_hat)] = 0; Xbld_hat[np.isnan(Xbld_hat)] = 0\n",
    "\n",
    "X = np.vstack([Xbld_hat, Xpop_hat, Xlum_hat])\n",
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Xbld_fake = np.vstack([v['profiles']['bldg'][0] for v in cities_fake])\n",
    "Xpop_fake = np.vstack([v['profiles']['pop'][0] for v in cities_fake])\n",
    "Xlum_fake = np.vstack([v['profiles']['lum'][0] for v in cities_fake])\n",
    "Xbnd_fake = np.vstack([v['profiles']['bnds'][0] for v in cities_fake])\n",
    "Xpop_fake[np.isnan(Xpop_fake)] = 0; Xlum_fake[np.isnan(Xlum_fake)] = 0; Xbld_fake[np.isnan(Xbld_fake)] = 0\n",
    "\n",
    "# normalize profiles by the scale\n",
    "\n",
    "Xpop_hat_fake = Xpop_fake / Xpop_fake.max(1)[:,None]\n",
    "Xlum_hat_fake = Xlum_fake / Xlum_fake.max(1)[:,None]\n",
    "Xbld_hat_fake = Xbld_fake / Xbld_fake.max(1)[:,None]\n",
    "Xall_hat_fake = np.hstack([Xbld_hat_fake, Xpop_hat_fake, Xlum_hat_fake])\n",
    "Xpop_hat_fake[np.isnan(Xpop_hat_fake)] = 0; Xlum_hat_fake[np.isnan(Xlum_hat_fake)] = 0; Xbld_hat_fake[np.isnan(Xbld_hat_fake)] = 0\n",
    "\n",
    "X_fake= np.vstack([Xbld_hat_fake, Xpop_hat_fake, Xlum_hat_fake])\n",
    "X_fake.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.cluster import KMeans, MiniBatchKMeans\n",
    "from numpy.random import random_sample\n",
    "from scipy.spatial.distance import cdist, pdist\n",
    "\n",
    "def kmeans_var_expl(data, n):\n",
    "    kMeansVar = [MiniBatchKMeans(n_clusters=k, batch_size=1000).fit(data) for k in range(1, n)]\n",
    "    centroids = [X.cluster_centers_ for X in kMeansVar]\n",
    "    k_euclid = [cdist(data, cent) for cent in centroids]\n",
    "    dist = [np.min(ke, axis=1) for ke in k_euclid]\n",
    "    wcss = [sum(d**2) for d in dist]\n",
    "    tss = sum(pdist(data)**2)/data.shape[0]\n",
    "    bss = tss - wcss\n",
    "    return tss, bss, wcss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tss, bss, wcss = kmeans_var_expl(X, 50)\n",
    "var_expl = bss/tss\n",
    "\n",
    "plt.figure(figsize=(4,3))\n",
    "plt.plot(np.diff(var_expl), lw=3, label=\"dif. pct. \\nvar. expl.\\n $V_k-V_{k-1}$\", color=colormap['all'])\n",
    "plt.axvline(x=10, color='red')\n",
    "plt.title(\"Optimum # clusters $K^*$\")\n",
    "plt.xlabel(\"# clusters K\")\n",
    "plt.ylabel(\"pct. var. expl\")\n",
    "plt.legend(loc=\"best\")\n",
    "plt.text(12, 0.05, \"$|V_k-V_{k-1}|<10^{-3}$\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tss, bss, wcss = kmeans_var_expl(X_fake, 50)\n",
    "var_expl = bss/tss\n",
    "\n",
    "plt.figure(figsize=(4,3))\n",
    "plt.plot(np.diff(var_expl), lw=3, label=\"dif. pct. \\nvar. expl.\\n $V_k-V_{k-1}$\", color=colormap['all'])\n",
    "plt.axvline(x=12, color='red')\n",
    "plt.title(\"Optimum # clusters $K^*$ (synth.)\")\n",
    "plt.xlabel(\"# clusters K\")\n",
    "plt.ylabel(\"pct. var. expl\")\n",
    "plt.legend(loc=\"best\")\n",
    "plt.text(12, 0.05, \"$|V_k-V_{k-1}|<10^{-3}$\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "K_star = 12\n",
    "mod = KMeans(n_clusters=K_star, n_init=10)\n",
    "mod.fit(X)\n",
    "centroids = mod.cluster_centers_\n",
    "\n",
    "C = mod.predict(X)\n",
    "C_bld = mod.predict(Xbld)\n",
    "C_pop = mod.predict(Xpop)\n",
    "C_lum = mod.predict(Xlum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "K_star = 12\n",
    "mod = KMeans(n_clusters=K_star, n_init=10)\n",
    "mod.fit(X_fake)\n",
    "centroids_fake = mod.cluster_centers_\n",
    "\n",
    "C_fake = mod.predict(X_fake)\n",
    "C_bld_fake = mod.predict(Xbld_fake)\n",
    "C_pop_fake = mod.predict(Xpop_fake)\n",
    "C_lum_fake = mod.predict(Xlum_fake)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_clusters(X, C, centroids, \n",
    "                  nrow=1, text=\"\", figsize=(6,4), top=0.75,\n",
    "                  xlabels=True):\n",
    "    K = len(np.unique(C))\n",
    "    clust_sizes = pd.Series(C).value_counts().values\n",
    "    nx = nrow\n",
    "    ny = K / nx\n",
    "    fig, ax = plt.subplots(nx,ny, \n",
    "                           gridspec_kw={\"wspace\":0.15, \"hspace\":0.3},\n",
    "                           figsize=figsize, sharex=True, sharey=True)\n",
    "    if len(ax.shape)==1:\n",
    "        ax = np.expand_dims(ax, axis=0)\n",
    "    for k,a in zip(range(K), ax.flatten()):\n",
    "        idx = np.where(C == k)[0]\n",
    "        std = X[idx,:].std(0)\n",
    "        a.fill_between(distance_km,\n",
    "           centroids[k,:]-std, \n",
    "           centroids[k,:]+std, \n",
    "           color=colormap[text], alpha=0.3)\n",
    "        a.plot(distance_km, centroids[k,:], lw=5, color=colormap[text])\n",
    "        # a.axis(\"off\")\n",
    "        a.set_title(\"C%d: %2.1f%%\"%(k,100*float(clust_sizes[k])/clust_sizes.sum()))\n",
    "        if k / ny == nx-1:\n",
    "            if xlabels: a.set_xlabel(\"d [km]\")\n",
    "            a.set_xticks(distance_km[::6])\n",
    "            a.set_xticklabels(distance_km[::6], rotation=30)\n",
    "        if k % ny == 0:\n",
    "            a.set_ylabel(\"$x_{\\cdot}(d)$\")\n",
    "\n",
    "    plt.suptitle(\"Classes of normalized profiles $x_{\\cdot}(d)$: centroids\")\n",
    "    fig.subplots_adjust(top=top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sns.set_context(\"notebook\", font_scale=1.5)\n",
    "\n",
    "plot_clusters(X, C, centroids, text=\"all\", \n",
    "              nrow=3, figsize=(14,7), top=0.88, xlabels=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sns.set_context(\"notebook\", font_scale=1.5)\n",
    "\n",
    "plot_clusters(X_fake, C_fake, centroids_fake, text=\"all\", \n",
    "              nrow=3, figsize=(14,7), top=0.88, xlabels=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore latent space \n",
    " - a way to assess representation quality introduced in the DCGAN paper"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Generate interpolation map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def generate_interpolation_map(Z,M):\n",
    "    N, nz = Z.shape\n",
    "    Z_map = np.zeros((N-1,M+1,nz))\n",
    "    for n in range(N-1):\n",
    "        dZ = (Z[n+1,:] - Z[n,:]) / float(M)\n",
    "        for m in range(M+1):\n",
    "            Z_map[n,m,:] = Z[n,:] + m*dZ\n",
    "        Z_map[n,0,:] = Z[n,:]\n",
    "        Z_map[n,m,:] = Z[n+1,:]\n",
    "    Z_map = Z_map.reshape(((N-1)*(M+1), nz))\n",
    "    return Z_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "M = 10\n",
    "\n",
    "Z_map = generate_interpolation_map(Z[[4,1]], M)\n",
    "x_fake_interp = generate_samples(netG, Z_map, cuda=True)\n",
    "\n",
    "utils.save_image_channels(x_fake_interp.data, ncol=x_fake_interp.size()[0], \n",
    "                          channel_names=channel_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recover latent vector of a real image \n",
    "\n",
    "We follow a recent ICLR workshop paper that optimizes a L2 norm of the reconstruction loss."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "normalize_channels = ([0, 160.91, 1.295, 0, 0],\n",
    "                      [1, 1010.413, 15.326, 1, 1])\n",
    "normalize = True # normalize_channels\n",
    "take_log = False # [1,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data_path = \"/home/data/world-cities/spatial-maps/splits/012/img/\"\n",
    "\n",
    "import glob\n",
    "\n",
    "files = glob.glob(data_path + \"*.png\")\n",
    "files_dict = {}\n",
    "for f in files:\n",
    "    s = f.split(\"/\")\n",
    "    fname = s[-1]\n",
    "    country,province,city,pop_class,pop,lat,lon = fname.split(\"_\")\n",
    "    files_dict[\"%s, %s, %s\"%(city.replace(\"-\",\" \"),province.replace(\"-\",\" \"), country.replace(\"-\",\" \"))] = f\n",
    "print len(files_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# city_start = \"paris, ledefrance, france\"\n",
    "city_start = \"bamako, bamako, mali\"\n",
    "# city_start = \"rio de janeiro, rio de janeiro, brazil\"\n",
    "# city_target= \"san francisco, california, united states\"\n",
    "city_target= \"kumasi, ashanti, ghana\"\n",
    "# city_target= \"dhaka, dhaka, bangladesh\"\n",
    "\n",
    "img_start  = imread(files_dict[city_start])\n",
    "img_target = imread(files_dict[city_target])\n",
    "\n",
    "img_start  = basic_preprocess(img_start, width, log=take_log, normalize=normalize)[...,:3]\n",
    "img_target = basic_preprocess(img_target, width, log=take_log, normalize=normalize)[...,:3]\n",
    "\n",
    "fig, ax = plt.subplots(1,2)\n",
    "ax[0].imshow(img_start[...,[1,2,0]]); \n",
    "ax[1].imshow(img_target[...,[1,2,0]]); \n",
    "_ = ax[0].axis(\"off\"); ax[0].set_title(\"start:\\n%s\"%city_start.split(\",\")[0])\n",
    "_ = ax[1].axis(\"off\"); ax[1].set_title(\"target:\\n%s\"%city_target.split(\",\")[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "from latent_space import reverse_z\n",
    "from torchvision import transforms as transforms\n",
    "norm_transf = transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))\n",
    "\n",
    "print \"learning latent representation for start image\"\n",
    "z_start, loss_start = reverse_z(netG.cuda(), np.expand_dims(img_start.transpose((2,1,0)),0),\n",
    "                                nz=z_num, cuda=True, clip='stochastic', \n",
    "                                lr=0.0002, niter=50000, loss_type='L2',\n",
    "                                apply_transform=norm_transf)\n",
    "\n",
    "print \"learning latent representation for target image\"\n",
    "z_target, loss_target = reverse_z(netG.cuda(), np.expand_dims(img_target.transpose((2,1,0)),0),\n",
    "                                  nz=z_num, cuda=True, clip='stochastic', \n",
    "                                  lr=0.0002, niter=50000, loss_type='L2',\n",
    "                                 apply_transform=norm_transf)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sns.set_context(\"notebook\", font_scale=1.5)\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(8,4))\n",
    "t = np.arange(0.01, 10.0, 0.01)\n",
    "ax1.plot(np.log(range(len(loss_start))), np.log(loss_start), lw=2, color='k')\n",
    "ax1.set_xlabel('# iterations')\n",
    "# Make the y-axis label, ticks and tick labels match the line color.\n",
    "ax1.set_ylabel('loss (start city)', color='k')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.plot(np.log(range(len(loss_start))), np.log(loss_target), lw=3)\n",
    "ax2.set_ylabel('loss (target city)', color=\"b\")\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.title(\"Recovering latent vectors $z_{start}$, $z_{target}$\")\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(8,4))\n",
    "t = np.arange(0.01, 10.0, 0.01)\n",
    "ax1.plot(range(len(loss_start)), loss_start, lw=2, color='k')\n",
    "ax1.set_xlabel('# iterations')\n",
    "# Make the y-axis label, ticks and tick labels match the line color.\n",
    "ax1.set_ylabel('loss (start city)', color='k')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.plot(range(len(loss_start)), loss_target, lw=3)\n",
    "ax2.set_ylabel('loss (target city)', color=\"b\")\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.title(\"Recovering latent vectors $z_{start}$, $z_{target}$\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "img_start_rec = netG(z_start).data.cpu().numpy().squeeze().transpose((1,2,0))\n",
    "img_target_rec = netG(z_target).data.cpu().numpy().squeeze().transpose((1,2,0))\n",
    "\n",
    "img_start_rec = basic_preprocess(img_start_rec, width, normalize=True)\n",
    "img_target_rec = basic_preprocess(img_target_rec, width, normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# real images\n",
    "\n",
    "fig, ax = plt.subplots(2,4)\n",
    "for c,(img,city) in enumerate(zip([img_start, img_target], [city_start, city_target])):\n",
    "    ax[c,0].imshow(img[...,:3], cmap=cm.GnBu)\n",
    "    ax[c,0].set_ylabel(city, rotation=90); \n",
    "    ax[c,0].set_xticks([]); ax[c,0].set_yticks([]); \n",
    "for c in range(3):\n",
    "    ax[0,c+1].imshow(img_start[...,c], cmap=cm.GnBu); \n",
    "    ax[1,c+1].imshow(img_target[...,c], cmap=cm.GnBu); \n",
    "    ax[0,c+1].set_title(channel_names[c])\n",
    "    _ = ax[0,c+1].axis(\"off\"); \n",
    "    _ = ax[1,c+1].axis(\"off\"); \n",
    "\n",
    "ax[0,0].set_ylabel(\"start:\\n%s\"%city_start.split(\",\")[0])\n",
    "ax[1,0].set_ylabel(\"target:\\n%s\"%city_target.split(\",\")[0])\n",
    "fig.subplots_adjust(top=0.82)\n",
    "fig.suptitle(\"real\")\n",
    "\n",
    "# recovered images\n",
    "\n",
    "fig, ax = plt.subplots(2,4)\n",
    "for c,(img,city) in enumerate(zip([img_start_rec, img_target_rec], [city_start, city_target])):\n",
    "    ax[c,0].imshow(np.flip(np.rot90(img[...,:3],k=3),1), cmap=cm.GnBu)\n",
    "    ax[c,0].set_ylabel(city, rotation=90); \n",
    "    ax[c,0].set_xticks([]); ax[c,0].set_yticks([]); \n",
    "for c in range(3):\n",
    "    ax[0,c+1].imshow(np.flip(np.rot90(img_start_rec[...,c],k=3),1), cmap=cm.GnBu); \n",
    "    ax[1,c+1].imshow(np.rot90(np.flip(img_target_rec[...,c],0),3), cmap=cm.GnBu); \n",
    "    ax[0,c+1].set_title(channel_names[c])\n",
    "    _ = ax[0,c+1].axis(\"off\"); \n",
    "    _ = ax[1,c+1].axis(\"off\"); \n",
    "\n",
    "ax[0,0].set_ylabel(\"start:\\n%s\"%city_start.split(\",\")[0])\n",
    "ax[1,0].set_ylabel(\"target:\\n%s\"%city_target.split(\",\")[0])\n",
    "fig.subplots_adjust(top=0.82)\n",
    "fig.suptitle(\"recovered\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Morph between real samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "M = 10\n",
    "Z = np.array([z_start.cpu().data.numpy(), \n",
    "              z_target.cpu().data.numpy()]).squeeze()\n",
    "Z_map = generate_interpolation_map(Z, M)\n",
    "x_fake_interp = generate_samples(netG.cpu(), Z_map)\n",
    "\n",
    "utils.save_image_channels(x_fake_interp.data, ncol=x_fake_interp.size()[0],\n",
    "                          normalize=True,\n",
    "                          channel_names=channel_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recover latent vectors for all large cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# load pruned list of cities\n",
    "cities_sel_df = pd.read_csv(dataroot + \"/selected_urban_areas_100k.csv\").drop(\"index\",axis=1)\n",
    "\n",
    "parse_location = lambda s: shape(loads(s))\n",
    "cities_sel_df['location'] = cities_sel_df['location'].apply(parse_location)\n",
    "\n",
    "def include(v):\n",
    "    return ((cities_sel_df.city.str.contains(v['city'])) & \\\n",
    "           (cities_sel_df.population==v['population']) & \\\n",
    "           (cities_sel_df.country.str.contains(v['country']))).sum()>0 \n",
    " \n",
    "cities_sel = {k:v for k,v in cities.iteritems() if include(v) and \\\n",
    "                v['size'] in ['large', 'very-large'] and\n",
    "                v['sum area']['bldg']>0 and v['sum area']['pop']>0 and v['sum area']['pop']>0 and \\\n",
    "                v['profiles']['bldg'][0].sum()>0 and v['profiles']['pop'][0].sum()>0 and v['profiles']['lum'][0].sum()>0}\n",
    "print len(cities_sel)\n",
    "\n",
    "filenames = [\"%s%s.png\" % (data_path, f) for f in cities_sel.keys()]\n",
    "\n",
    "if not os.path.exists(experiment_dir + \"/recovered/\"):\n",
    "    os.makedirs(experiment_dir + \"/recovered/\")\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from skimage.transform import resize\n",
    "\n",
    "orig_data_path = \"/home/data/world-cities/spatial-maps/samples\"\n",
    "\n",
    "z_rec_dict = {}\n",
    "for i,f in enumerate(filenames):\n",
    "    city_name = cities_sel.values()[i]['city']\n",
    "    country_name = cities_sel.values()[i]['country']\n",
    "    sample_name = cities_sel.keys()[i]\n",
    "    city_info_real = cities_sel[sample_name]\n",
    "    clear_output(wait=True)\n",
    "    print sample_name\n",
    "\n",
    "    # read in real image\n",
    "    img_real_orig = imread(\"%s/%s.tif\"%(orig_data_path, sample_name))\n",
    "    img_real = imread(f)\n",
    "    img_real = basic_preprocess(img_real, width, log=take_log, normalize=normalize)[...,:3]\n",
    "\n",
    "    # recover latent vector\n",
    "    z_rec, loss_rec = reverse_z(netG.cuda(), np.expand_dims(img_real.transpose((2,1,0)),0),\n",
    "                                    nz=z_num, cuda=True, clip='stochastic', \n",
    "                                    lr=0.0002, niter=30000, loss_type='L2',\n",
    "                                    apply_transform=norm_transf)\n",
    "    img_rec = netG(z_rec).data.cpu().numpy().squeeze().transpose((1,2,0))\n",
    "    img_rec = basic_preprocess(img_rec, width, normalize=True)\n",
    "    z_rec_dict[sample_name] = z_rec\n",
    "    \n",
    "    # save image and latent space data\n",
    "    sns.set_context(\"notebook\", font_scale=2, rc={\"lines.linewidth\": 1})\n",
    "    fig, ax = plt.subplots(2,5, figsize=(14,6), \n",
    "                           gridspec_kw={\"wspace\":0.05, \"hspace\":0.05})\n",
    "    ax[0,0].imshow(np.flip(np.rot90(img_real[...,:3],k=3),1), cmap=cm.GnBu)\n",
    "    ax[1,0].imshow(np.flip(img_rec[...,:3],0), cmap=cm.GnBu)\n",
    "    for c,img in enumerate([img_real, img_rec]):\n",
    "        ax[c,0].set_ylabel(city, rotation=90); \n",
    "        ax[c,0].set_xticks([]); ax[c,0].set_yticks([]); \n",
    "    for c in range(3):\n",
    "        ax[0,c+1].imshow(np.flip(np.rot90(img_real[...,c],k=3),1), cmap=cm.GnBu); \n",
    "        ax[1,c+1].imshow(np.flip(img_rec[...,c],0), cmap=cm.GnBu); \n",
    "        ax[0,c+1].set_title(channel_names[c])\n",
    "        _ = ax[0,c+1].axis(\"off\"); \n",
    "        _ = ax[1,c+1].axis(\"off\"); \n",
    "\n",
    "    ax[0,0].set_ylabel(\"real\")\n",
    "    ax[1,0].set_ylabel(\"recovered\")\n",
    "    fig.subplots_adjust(top=0.82)\n",
    "    fig.suptitle(\"%s, %s\"%(city_name, country_name))\n",
    "\n",
    "    # compute radial profile for recovered image\n",
    "    water = img_real_orig[...,3]\n",
    "    bnds = img_real_orig[...,4]\n",
    "    img_rec_proc = np.flip(resize(img_rec, (128,128)),0)\n",
    "    city_info_rec = compute_profiles(img_rec_proc, water, bnds, sample_name)\n",
    "    \n",
    "    # plot profiles\n",
    "    plot_profiles(city_info_real, ax[0,-1], title=\"$\\hat x_{\\cdot}(d)$\"); _ = ax[0,-1].axis(\"off\"); \n",
    "    plot_profiles(city_info_rec, ax[1,-1]); _ = ax[1,-1].axis(\"off\"); \n",
    "    \n",
    "    # compute discrepancy for bld, lum for real and recovered images\n",
    "    mu_real = get_profiles(city_info_real)\n",
    "    mu_rec  = get_profiles(city_info_rec)\n",
    "    \n",
    "    discr_real = {k:compute_discrepancy(mu_real[k], mu_real['pop']) \\\n",
    "                   for k in ['bldg', 'lum']}\n",
    "    discr_rec  = {k:compute_discrepancy(mu_rec[k], mu_rec['pop']) \\\n",
    "                   for k in ['bldg', 'lum']}\n",
    "    \n",
    "    fig.savefig(experiment_dir + \"/recovered/%s_combined.png\"%sample_name, dpi=500)\n",
    "    # plt.close(fig) \n",
    "    imsave(experiment_dir + \"/recovered/%s_real.png\"%sample_name, img_real)\n",
    "    imsave(experiment_dir + \"/recovered/%s_recovered.png\"%sample_name, img_rec)\n",
    "    np.savetxt(experiment_dir + \"/recovered/%s_latent.txt\"%sample_name, \n",
    "                  z_rec.data.cpu().numpy().squeeze())\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "discr_real, discr_rec"
   ]
  }
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